Research & Beyond

Research

Research

My research spans across four areas:

Healthcare

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Artificial Intelligence

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Marketing-Operations Interfaces

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Global Supply Chains

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I devel­op the the­o­ries and evi­dence for how arti­fi­cial intel­li­gence reshapes health­care, the sup­ply chains that sus­tain it, and mar­ket­places. I view AI not as a plug-in tech­nol­o­gy but as a sys­tem-lev­­el inter­ven­tion that rede­fines how insti­tu­tions make deci­sions, how incen­tives shape behav­ior, and how sys­tems respond to disruption.

Trained at Carnegie Mel­lon in a pro­gram span­ning busi­ness and com­put­er sci­ence, I con­nect algo­rithms with prac­tice, pol­i­cy, and insti­tu­tions. My research devel­ops mod­els of when and how AI is used, show­ing how deploy­ment choic­es shape diag­no­sis, treat­ment, and trust. I advance these mod­els through ran­dom­ized tri­als, eco­nom­ic analy­ses, and behav­ioral stud­ies. At the sys­tem lev­el, I show how reim­burse­ment, lia­bil­i­ty, and reg­u­la­tion gov­ern adop­tion, and how crises expose fragili­ty in phar­ma­ceu­ti­cal and med­ical device sup­ply chains. In relat­ed work, I study how insti­tu­tion­al con­straints gen­er­ate moral haz­ard in mar­kets, with impli­ca­tions for con­tracts, mul­ti­task­ing, and ser­vice design.

My research unites the­o­ry, empir­i­cal val­i­da­tion, and insti­tu­tion­al analy­sis to define the emerg­ing dis­ci­pline of AI in oper­a­tions. It informs how health­care, mar­ket­places, and sup­ply chains can be redesigned to adapt, endure, and evolve, set­ting the foun­da­tions for insti­tu­tions increas­ing­ly defined by the con­flu­ence of human and machine intelligence.

SSRN Page
Google Scholar Profile
INFORMS Publications
BibTeX File of All Papers
Pub­lished & Work­ing Papers (by Topic) 

Papers by Top­ic (For a chrono­log­i­cal list, vis­it tinglongdai.com/papers)

Healthcare

‣ Zhang, Minmin, Guihua Wang, and Tin­g­long Dai. 2026. “ The Spillover Effect of Suspending Non-Essential Surgery: Evidence from Kidney Transplantation .” Man­age­ment Sci­ence, accept­ed for publication. 

‣ Hunt, Matthew S., Tin­g­long Dai, and Michael D. Abràmoff. 2026. “Evaluating Commercial Multimodal AI for Diabetic Eye Screening and Implications for an Alternative Regulatory Pathway.” npj Dig­i­tal Med­i­cine, 9: 42. https://www.nature.com/articles/s41746-025-02216-7. [PDF]

‣ Dai, Tin­g­long, and Shubhranshu Singh. 2025. “Artificial Intelligence on Call: The Physician's Decision of Whether to Use AI in Clinical Practice.” Jour­nal of Mar­ket­ing Research 62(5): 854–875. https://doi.org/10.1177/00222437251332898.

‣ Dai, Tin­g­long, Joseph C. Kvedar, and Daniel Polsky. 2025. “Policy Brief: Ambient AI Scribes and the Coding Arms Race.” npj Dig­i­tal Med­i­cine, Vol. 8, Arti­cle No. 780, Dec. 24, 2025. https://www.nature.com/articles/s41746-025-02272-z. [PDF]

‣ Socal, Mariana P., Yunxiang Sun, Jeromie M. Ballreich, Jennifer Dailey Lambert, Tin­g­long Dai, and Maqbool Dada. 2025. “US Antibiotic Importation and Supply Chain Vulnerabilities.” JAMA Health Forum 6(10): e253871. Pub­lished online Octo­ber 3, 2025. https://doi.org/10.1001/jamahealthforum.2025.3871. [PDF]

‣ Li, Michael Lingzhi, and Tin­g­long Dai. 2025. “The Future in Sight: LumineticsCore and the First Autonomous AI for Diagnostics.” Har­vard Busi­ness School Case. Product #: 626019-PDF-ENG.

‣ Lai, Jiayi, Leon Xu, Xin Fang, and Tin­g­long Dai. 2025. “Regulating Adaptive New Products: Can Less Oversight Lead to Better Development Practices?.” Work­ing paper. https://doi.org/10.2139/ssrn.5009572.

‣ Dai, Tin­g­long, and Simrita Singh. 2025. “Using Artificial Intelligence as Gatekeeper or Second Opinion: Designing Patient Pathways for Artificial Intelligence Augmented Healthcare.” Pro­duc­tion and Oper­a­tions Man­age­ment, forth­com­ing. https://doi.org/10.1177/10591478251403269.

‣ Dai, Tin­g­long, and Shubhranshu Singh. 2025. “Overdiagnosis and Undertesting for Infectious Diseases.” Mar­ket­ing Sci­ence 44(2): 353–373. https://doi.org/10.1287/mksc.2022.0038.

◦ Fea­tured by New York Times and VoxEU
◦ Select­ed by COVID Economics as lead arti­cle of Issue 58

‣ Lee, Branden, Patrick Kramer, Sara Sandri, Ritika Chanda, Crystal Favorito, Olivia Nasef, Joseph S. Ross, Joshua Sharfstein, Tin­g­long Dai. 2025. “Early Recalls and Clinical Validation Gaps in Artificial Intelligence–Enabled Medical Devices.” JAMA Health Forum 6(8): e253172. https://doi.org/10.1001/jamahealthforum.2025.3172. [PDF]

‣ Yang, Haiyang, Tin­g­long Dai, Nestoras Mathioudakis, Amy M. Knight, Yuna Nakayasu, and Risa M. Wolf . 2025. “Peer Perceptions of Clinicians Using Generative AI in Medical Decision-Making.” npj Dig­i­tal Med­i­cine 8: 530. https://www.nature.com/articles/s41746-025-01901-x. [PDF]

‣ Lee, Branden, Shivam Patel, Crystal Favorito, Sara Sandri, Maria Rain Jennings, and Tin­g­long Dai. 2025. “Development and Commercialization Pathways of AI Medical Devices in the United States: Implications for Safety and Regulatory Oversight.” NEJM AI 2(7): AIra2500061. https://ai.nejm.org/doi/10.1056/AIra2500061. [PDF]

‣ Socal, Mariana P., Joy Acha, Chia-Yu Yang, Yunxiang Sun, Maqbool Dada, Tin­g­long Dai, Gerard Anderson, and Jeromie Ballreich. 2025. “Key Drivers and Mitigation Strategies of Oncology Drug Shortages 2023 to 2025.” The Can­cer Jour­nal 31(5). https://doi.org/10.1097/ppo.0000000000000791.

‣ Martagan, Tugce, and Tin­g­long Dai. 2025. “Synergizing Artificial Intelligence and Operations Research for Advancements in Biomanufacturing.” Health Care Man­age­ment Sci­ence, 28 (4): 930–935. https://doi.org/10.1007/s10729-025-09725-7.

‣ Dai, Tin­g­long, Risa M. Wolf, and Haiyang Yang. 2025. Unlearning in Medical AI: A New Frontier for Privacy, Regulation, and Trust. Health Affairs Fore­front. August 26. http://doi.org/10.1377/forefront.20250822.284476.

‣ Dada, Maqbool, Tin­g­long Dai, Yunxiang Sun, and Mariana Socal. 2025. “Tariffs as a Hidden Tax: Price Pass-Through in Multi-Stage Supply Chains.” Work­ing paper. http://doi.org/10.2139/ssrn.5237643.

‣ Zhong, Huaiyang, Guihua Wang, and Tin­g­long Dai. 2025. “Wheels on the Bus: Impact of Vaccine Rollouts on Demand for Public Transportation.” Pro­duc­tion and Oper­a­tions Man­age­ment, forth­com­ing. https://doi.org/10.1177/10591478251377162.

‣ Socal, Mariana, Maqbool Dada, and Tin­g­long Dai. 2025. “Prescription for Made in America? Tariffs and U.S. Drug Manufacturing.” Health Affairs Schol­ar, forth­com­ing. https://doi.org/10.1093/haschl/qxaf122. [PDF]

‣ Ahmed, Mahnoor, Tin­g­long Dai, Roomasa Channa, Michael D. Abramoff, Harold P. Lehmann, and Risa M. Wolf. 2025. “Cost-Effectiveness of AI for Pediatric Diabetic Eye Exams from a Health System Perspective.” npj Dig­i­tal Med­i­cine 8: 3. https://www.nature.com/articles/s41746-024-01382-4. [PDF]

‣ Sagona, Madeline, Tin­g­long Dai, Mario Macis, and Michael Darden. 2025. “Trust in AI-Assisted Health Systems and AI’s Trust in Humans.” npj Health Sys­tems 2:10. https://www.nature.com/articles/s44401-025-00016-5.[PDF]

‣ Adida, Elodie, and Tin­g­long Dai. 2024. “Impact of Physician Payment Scheme on Diagnostic Effort and Testing.” Man­age­ment Sci­ence 70(8): 5408–5425. https://doi.org/10.1287/mnsc.2023.4937.

‣ Abramoff, Michael, Tin­g­long Dai, and James Zou. 2024. “Scaling Adoption of Medical Artificial Intelligence: Reimbursement from Value-Based Care and Fee-for-Service Perspectives.” NEJM AI 1(5): AIpc2400083. https://ai.nejm.org/doi/10.1056/AIpc2400083. [PDF]

‣ Luan, Shujie, Shubhranshu Singh, and Tin­g­long Dai. 2024. “Algorithmic Bias and Physician Liability.” Work­ing paper. https://doi.org/10.2139/ssrn.5046254.

‣ Adida, Elodie, and Tin­g­long Dai. 2025. “Provider Payment Models for Transformative Technologies in Healthcare.” Work­ing paper. http://dx.doi.org/10.2139/ssrn.5097711.

‣ Dai, Tin­g­long, and Michael D. Abramoff. 2023. “Incorporating Artificial Intelligence into Healthcare Workflows: Models and Insights.” INFORMS TutO­Ri­als in Oper­a­tions Research, 133–155. https:/doi.org/10.1287/educ.2023.0257.

‣ Abramoff, Michael D., Noelle White­stone, Jen­nifer L. Pat­naik, Emi­ly Rich, Munir Ahmed, Lut­ful Husain, Moham­mad Yead­ul Has­san, Md. Sajidul Huq Tan­jil, Dena Weitz­man, Tin­g­long Dai, Brandie D. Wag­n­er, David H. Cher­wek, Nathan Con­g­don & Khair­ul Islam. 2023. “Autonomous Artificial Intelligence Increases Real-World Specialist Clinic Productivity in a Cluster-Randomized Trial.” npj Dig­i­tal Med­i­cine 6: 184. https://www.nature.com/articles/s41746-023-00931-7

‣ Wang, Guihua, Ronghuo Zheng, and Tin­g­long Dai. 2022. “Does Transportation Mean Transplantation? Impact of New Airline Routes on Sharing of Cadaveric Kidneys.” Man­age­ment Sci­ence 68(5): 3660–3679. https://doi.org/10.1287/mnsc.2021.4103.

◦ Fea­tured in Nobel lau­re­ate Al Roth’s Market Design blog
◦ Select­ed by Finan­cial Times as a run­n­er-up for the 2022 Responsible Business Education Awards
◦ Fea­tured by Associated Press, Austin’ NPR Station—KUT, The Conversation, Financial Times, Public Radio International, National Interest, Simple Flying, and Yahoo! News

‣ Mak, Ho-Yin, Tin­g­long Dai, and Christopher S. Tang. 2022. “Managing Two-Dose COVID-19 Vaccine Rollouts with Limited Supply: Operations Strategies for Distributing Time-Sensitive Resources.” Pro­duc­tion and Oper­a­tions Man­age­ment 31 (12): 4424–4442. https://doi.org/10.1111/poms.13862.

‣ Dai, Tin­g­long, Xiaofang Wang, and Chao-Wei Hwang. 2022. “Clinical Ambiguity and Conflicts of Interest in Interventional Cardiology Decision Making.” Man­u­fac­tur­ing & Ser­vice Oper­a­tions Man­age­ment 24(2): 864–882. https://doi.org/10.1287/msom.2021.0969.

◦ Johns Hopkins Discovery Award, 2015

◦ Pro­duc­tion and Oper­a­tions Man­age­ment Soci­ety (POMS) Best Health­care Paper Award (Run­n­er-Up), 2016

‣ Dai, Tin­g­long, and Sridhar Tayur. 2022. “Designing AI-augmented Healthcare Delivery Systems for Physician Buy-in and Patient Acceptance.” Pro­duc­tion and Oper­a­tions Man­age­ment, 31 (12): 4443–4451. https://doi.org/10.1111/poms.13850.

‣ Ahmadi, Farzin, Tin­g­long Dai, and Kimia Ghobadi. 2022. “You are What You Eat: A Preference-Aware Inverse Optimization Approach.” Work­ing paper. http://doi.org/10.2139/ssrn.4298746.

‣ Dai, Tin­g­long, and Jing-Sheng Song. 2021. “Transforming COVID-19 Vaccines into Vaccination.” Health Care Man­age­ment Sci­ence 24 (3): 455–459. https://doi.org/10.1007/s10729-021-09563-3. [lead article]

‣ Jain, Amit, Tin­g­long Dai, Kristin Bibee, and Christopher G. Myers. 2020. “Covid-19 Created an Elective Surgery Backlog. How Can Hospitals Get Back on Track?” Har­vard Busi­ness Review, August 10, 2020. https://hbr.org/2020/08/covid-19-created-an-elective-surgery-backlog-how-can-hospitals-get-back-on-track.

‣ Dai, Tin­g­long, and Sridhar Tayur. 2020. “OM Forum—Healthcare Operations Management: A Snapshot of Emerging Research.” Man­u­fac­tur­ing & Ser­vice Oper­a­tions Man­age­ment 22 (5): 869–887. https://doi.org/10.1287/msom.2019.0778. [lead article]

‣ Bal­agu­ru, Loges­var, Chen Dun, Andrea Mey­er, Sanuri Hen­nayake, Christi Walsh, Christo­pher Kung, Brit­tany Cary, Frank Migliarese, Tin­g­long Dai, Ge Bai, Kathleen Sutcliffe, and Martin Makary. 2022. “NIH Funding of COVID-19 Research in 2020: A Cross Sectional Study.” BMJ Open 12(5), e059041. http://dx.doi.org/10.1136/bmjopen-2021-059041

◦ Fea­tured by New York Times

‣ Dai, Tin­g­long, and Shubhranshu Singh. 2020. “Conspicuous by Its Absence: Diagnostic Expert Testing Under Uncertainty.” Mar­ket­ing Sci­ence 39 (3): 540–563. https://doi.org/10.1287/mksc.2019.1201.

◦ Fea­tured by Agency for Healthcare Research and Quality, Hub of Johns Hopkins University and INFORMS Podcast

‣ Dai, Tin­g­long, Ronghuo Zheng, and Katia Sycara. 2020. “Jumping the Line, Charitably: Analysis and Remedy of Donor-Priority Rule.” Man­age­ment Sci­ence 66 (2): 622–641. https://doi.org/10.1287/mnsc.2018.3266.

◦ 2017 INFORMS Pub­lic Sec­tor Oper­a­tions Research Best Paper Award (First Place Winner)

‣ Dai, Tin­g­long, Kelly Gleason, Chao‐Wei Hwang, and Patricia Davidson. 2019. “Heart Analytics: Analytical Modeling of Cardiovascular Care.” Naval Research Logis­tics 68 (1): 30–43. https://doi.org/10.1002/nav.21880.

‣ Dai, Tin­g­long, Mustafa Akan, and Sridhar Tayur. 2017. “Imaging Room and Beyond: The Underlying Economics Behind Physicians’ Test-Ordering Behavior in Outpatient Services.” Man­u­fac­tur­ing & Ser­vice Oper­a­tions Man­age­ment 19 (1): 99–113. https://doi.org/10.1287/msom.2016.0594.

◦ 2012 POMS Best Health­care Paper Award (First Place Winner)

‣ Dai, Tin­g­long, Soo-Haeng Cho, and Fuqiang Zhang. 2016. “Contracting for On-Time Delivery in the U.S. Influenza Vaccine Supply Chain.” Man­u­fac­tur­ing & Ser­vice Oper­a­tions Man­age­ment 18 (3): 332–346. https://doi.org/10.1287/msom.2015.0574.

◦ Fea­ture Arti­cle in the Sum­mer 2016 issue of M&SOM
◦ Fea­tured by Hub of Johns Hopkins University, Washington University in St. Louis Newsroom, and Pharmacy Times

‣ Liljenquist, Dan, Tin­g­long Dai, and Ge Bai. 2021. “A Nonprofit Public Utility Approach to Enhance Next-Generation Vaccine Manufacturing Capacity.” Pop­u­la­tion Health Man­age­ment 24 (5): 546–547. https://doi.org/10.1089/pop.2020.0377.

‣ Lee, Soo-Hoon, Tin­g­long Dai, Phillip H. Phan, Nehama Moran, and Jerry Stonemetz. 2022. “The Association Between Timing of Elective Surgery Scheduling and Operating Theater Utilization: A Cross-Sectional Retrospective Study.” Anes­the­sia & Anal­ge­sia 134 (3): 455-462. doi:10.1213/ane.0000000000005871.

‣ Jain, Amit, Tin­g­long Dai, Christopher G Myers, Pun­ya Jain, and Shru­ti Aggar­w­al. 2021. “Prioritising Surgical Cases Deferred by the COVID-19 Pandemic: An Ethics-Inspired Algorithmic Framework for Health Leaders.” BMJ Leader 5 (2): 124–126. https://doi.org/10.1136/leader-2020-000343.

‣ Fattahi, Ali, Maqbool Dada, and Tin­g­long Dai. 2020. “A Subscription Model for Prescription Drugs.” Work­ing paper. https://doi.org/10.2139/ssrn.3634063.

Artificial Intelligence

‣ Cohen, Maxime C., Tin­g­long Dai, Georgia Perakis, Narendra Agrawal, Gad Allon, Robert Boute, Gérard Cachon, Zhe Chen, Morris Cohen, Rares Cristian, Vinayak Deshpande, Francis de Véricourt, Jan C. Fransoo, Joren Gijsbrechts, Pavithra Harsha, Ming Hu, Pınar Keskinocak, Caleb Kwon, Hau Lee, Sheng Liu, Konstantina Mellou, Ishai Menache, Jason Miller, Serguei Netessine, Tava Olsen, Jeevan Pathuri, Robert Peels, Yongzhi Qi, Ananth Raman, Anne Robinson, Max Shen, Masha Shunko, David Simchi-Levi, Hannah Smalley, Jeannette Song, Jayashankar M. Swaminathan, Christopher S. Tang, Sridhar Tayur, Maxi Udenio, Jan Van Mieghem, Lillian Yuqian Xu, Dennis Zhang. 2025. ”Supply Chain Management in the AI Era: A Vision Statement from the Operations Management Community.” Man­u­fac­tur­ing & Ser­vice Oper­a­tions Man­age­ment, accept­ed for pub­li­ca­tion (Feb­ru­ary 2026). http://dx.doi.org/10.2139/ssrn.5792542.

‣ Hunt, Matthew S., Tin­g­long Dai, and Michael D. Abràmoff. 2026. “Evaluating Commercial Multimodal AI for Diabetic Eye Screening and Implications for an Alternative Regulatory Pathway.” npj Dig­i­tal Med­i­cine, 9: 42. https://www.nature.com/articles/s41746-025-02216-7. [PDF]

‣ Dai, Tin­g­long, and Terry Taylor. 2025. “Designing Enterprise AI Systems: Hallucination, Creativity, and Moral Hazard.” Work­ing paper. https://doi.org/10.2139/ssrn.5996714.

‣ Dai, Tin­g­long, David Simchi-Levi, Michelle Xiao Wu, and Yao Xie. 2025. “Assured Autonomy: How Operations Research Powers and Orchestrates Generative AI Systems.” Work­ing paper. https://doi.org/10.2139/ssrn.5996875.

‣ Dai, Tin­g­long, Joseph C. Kvedar, and Daniel Polsky. 2025. “Policy Brief: Ambient AI Scribes and the Coding Arms Race.” npj Dig­i­tal Med­i­cine, Vol. 8, Arti­cle No. 780, Dec. 24, 2025. https://www.nature.com/articles/s41746-025-02272-z. [PDF]

‣ Li, Michael Lingzhi, and Tin­g­long Dai. 2025. “The Future in Sight: LumineticsCore and the First Autonomous AI for Diagnostics.” Har­vard Busi­ness School Case. Product #: 626019-PDF-ENG.

‣ Simchi-Levi, David, Tin­g­long Dai, Ishai Menache, and Michelle Xiao Wu. 2025. “Democratizing Optimization with Generative AI.” Work­ing paper. https://doi.org/10.2139/ssrn.5511218.

‣ Lai, Jiayi, Leon Xu, Xin Fang, and Tin­g­long Dai. 2025. “Regulating Adaptive New Products: Can Less Oversight Lead to Better Development Practices?.” Work­ing paper. https://doi.org/10.2139/ssrn.5009572.

‣ Dai, Tin­g­long, and Jayashankar M. Swaminathan. 2025. “Artificial Intelligence and Operations: A Foundational Framework of Emerging Research and Practice.” Pro­duc­tion and Oper­a­tions Man­age­ment, forth­com­ing. https://doi.org/10.1177/10591478251412943.

‣ Dai, Tin­g­long, and Simrita Singh. 2025. “Using Artificial Intelligence as Gatekeeper or Second Opinion: Designing Patient Pathways for Artificial Intelligence Augmented Healthcare .” Pro­duc­tion and Oper­a­tions Man­age­ment, forth­com­ing. https://doi.org/10.1177/10591478251403269.

‣ Dai, Tin­g­long, Risa M. Wolf, and Haiyang Yang. 2025. “Unlearning in Medical AI: A New Frontier for Privacy, Regulation, and Trust.” Health Affairs Fore­front. August 26. http://doi.org/10.1377/forefront.20250822.284476.

‣ Lee, Branden, Patrick Kramer, Sara Sandri, Ritika Chanda, Crystal Favorito, Olivia Nasef, Joseph S. Ross, Joshua Sharfstein, Tin­g­long Dai. 2025. “Early Recalls and Clinical Validation Gaps in Artificial Intelligence–Enabled Medical Devices.” JAMA Health Forum 6(8): e253172. https://doi.org/10.1001/jamahealthforum.2025.3172. [PDF]

‣ Yang, Haiyang, Tin­g­long Dai, Nestoras Mathioudakis, Amy M. Knight, Yuna Nakayasu, and Risa M. Wolf . 2025. “Peer Perceptions of Clinicians Using Generative AI in Medical Decision-Making.” npj Dig­i­tal Med­i­cine 8: 530. https://www.nature.com/articles/s41746-025-01901-x. [PDF]

‣ Lee, Branden, Shivam Patel, Crystal Favorito, Sara Sandri, Maria Rain Jennings, and Tin­g­long Dai. 2025. “Development and Commercialization Pathways of AI Medical Devices in the United States: Implications for Safety and Regulatory Oversight.” NEJM AI 2(7): AIra2500061. https://ai.nejm.org/doi/10.1056/AIra2500061. [PDF]

‣ Dai, Tin­g­long, and Shubhranshu Singh. 2025. “Artificial Intelligence on Call: The Physician's Decision of Whether to Use AI in Clinical Practice.” Jour­nal of Mar­ket­ing Research 62(5): 854–875. https://doi.org/10.1177/00222437251332898.

‣ Ahmed, Mahnoor, Tin­g­long Dai, Roomasa Channa, Michael D. Abramoff, Harold P. Lehmann, and Risa M. Wolf. 2025. “Cost-Effectiveness of AI for Pediatric Diabetic Eye Exams from a Health System Perspective.” npj Dig­i­tal Med­i­cine 8: 3. https://www.nature.com/articles/s41746-024-01382-4. [PDF]

‣ Martagan, Tugce, and Tin­g­long Dai. 2025. “Synergizing Artificial Intelligence and Operations Research for Advancements in Biomanufacturing.” Health Care Man­age­ment Sci­ence, 28 (4): 930–935. https://doi.org/10.1007/s10729-025-09725-7.

‣ Wiberg, Holly, Tin­g­long Dai, Henry Lam, and Radhika Kulkarni. 2025. “Synergizing Artificial Intelligence and Operations Research: Perspectives from INFORMS Fellows on the Next Frontier.” INFORMS Jour­nal on Data Sci­ence, ePub ahead of print. https://doi.org/10.1287/ijds.2025.0077.

‣ Sagona, Madeline, Tin­g­long Dai, Mario Macis, and Michael Darden. 2025. “Trust in AI-Assisted Health Systems and AI’s Trust in Humans.” npj Health Sys­tems 2:10. https://www.nature.com/articles/s44401-025-00016-5.[PDF]

‣ Gilbert, Stephen, Tin­g­long Dai, and Rebecca Mathias. 2025. “Consternation as Congress Proposal for Autonomous Prescribing AI Coincides With the Haphazard Cuts at the FDA.” npj Dig­i­tal Med­i­cine 8: 165. https://www.nature.com/articles/s41746-025-01540-2.

‣ Abramoff, Michael, Tin­g­long Dai, and James Zou. 2024. “Scaling Adoption of Medical Artificial Intelligence: Reimbursement from Value-Based Care and Fee-for-Service Perspectives.” NEJM AI 1(5): AIpc2400083. https://ai.nejm.org/doi/10.1056/AIpc2400083. [PDF]

‣ Luan, Shujie, Shubhranshu Singh, and Tin­g­long Dai. 2024. “Algorithmic Bias and Physician Liability.” Work­ing paper. https://doi.org/10.2139/ssrn.5046254.

‣ Adida, Elodie, and Tin­g­long Dai. 2025. “Provider Payment Models for Transformative Technologies in Healthcare.” Work­ing paper. http://dx.doi.org/10.2139/ssrn.5097711.

‣ Ho, Cindy N., Tiffany Tian, Alessandra T. Ayers, Rachel E. Aaron, Vidith Phillips, Risa M. Wolf, Nestoras Mathioudakis, Tin­g­long Dai, and David C. Klonoff. 2024. “Qualitative Metrics from the Biomedical Literature for Evaluating Large Language Models in Clinical Decision-Making: A Narrative Review.” BMC Med­ical Infor­mat­ics and Deci­sion Mak­ing 24:357. https://doi.org/10.1186/s12911-024-02757-z.

‣ Dai, Tin­g­long, and Abramoff, Michael. 2023. “Incorporating Artificial Intelligence into Healthcare Workflows: Models and Insights.” INFORMS TutO­Ri­als in Oper­a­tions Research, 133–155. https://doi.org/10.1287/educ.2023.0257.

‣ Dai, Tin­g­long, and Sridhar Tayur. 2022. “Designing AI-augmented Healthcare Delivery Systems for Physician Buy-in and Patient Acceptance.” Pro­duc­tion and Oper­a­tions Man­age­ment, 31 (12): 4443–4451. https://doi.org/10.1111/poms.13850.

‣ Abramoff, Michael D., Noelle White­stone, Jen­nifer L. Pat­naik, Emi­ly Rich, Munir Ahmed, Lut­ful Husain, Moham­mad Yead­ul Has­san, Md. Sajidul Huq Tan­jil, Dena Weitz­man, Tin­g­long Dai, Brandie D. Wag­n­er, David H. Cher­wek, Nathan Con­g­don, and Khair­ul Islam. 2023. “Autonomous Artificial Intelligence Increases Real-World Specialist Clinic Productivity in a Cluster-Randomized Trial.” npj Dig­i­tal Med­i­cine 6: 184. https://www.nature.com/articles/s41746-023-00931-7

‣ Dai, Tin­g­long, and Shubhranshu Singh. 2020. “Conspicuous by Its Absence: Diagnostic Expert Testing Under Uncertainty.” Mar­ket­ing Sci­ence 39 (3): 540–563. https://doi.org/10.1287/mksc.2019.1201.

◦ Fea­tured by Agency for Healthcare Research and Quality, Hub of Johns Hopkins University and INFORMS Podcast

‣ Adida, Elodie, and Tin­g­long Dai. 2024. “Impact of Physician Payment Scheme on Diagnostic Effort and Testing.” Man­age­ment Sci­ence 70(8): 5408–5425. https://doi.org/10.1287/mnsc.2023.4937.

‣ Dai, Tin­g­long, Katia Sycara, and Ronghuo Zheng. 2021. “Agent Reasoning in AI-Powered Negotiation.” Handbook of Group Decision and Negotiation, 2nd Edition. M. Kil­go­ur and C. Eden (Eds). New York: Springer.

‣ Wuest, Thorsten, Andrew Kusiak, Tin­g­long Dai, and Sridhar R. Tayur. 2020. “Impact of COVID-19 on Manufacturing and Supply Networks — The Case for AI-Inspired Digital Transformation.” Work­ing report. https://doi.org/10.2139/ssrn.3593540.

◦ A short­ened ver­sion, enti­tled “Impact of COVID-19: The Case for AI-Inspired Digital Transformation,” was pub­lished in the June 2020 issue of OR/MS Today and fea­tured on the cover.

‣ Zheng, Ronghuo, Tin­g­long Dai, Katia Sycara, and Nilanjan Chakraborty. 2016. “Automated Multilateral Negotiation on Multiple Issues with Private Information.” INFORMS Jour­nal on Com­put­ing 28 (4): 612–628. https://doi.org/10.1287/ijoc.2016.0701.

‣ Zheng, Ronghuo, Nilanjan Chakraborty, Tin­g­long Dai, and Katia Sycara. 2013. “Multiagent Negotiation on Multiple Issues with Incomplete Information.” In Pro­ceed­ings of the 12th Inter­na­tion­al Con­fer­ence on Autonomous Agents and Mul­ti­a­gent Sys­tems: AAMAS’13, 1279–1280. https://dl.acm.org/doi/10.5555/2484920.2485182.

‣ Zheng, Ronghuo, Nilanjan Chakraborty, Tin­g­long Dai, Katia Sycara, and Michael Lewis. 2013. “Automated Bilateral Multiple-Issue Negotiation with No Information About Opponent.” In Pro­ceed­ings of the 46th Hawaii Inter­na­tion­al Con­fer­ence on Sys­tem Sci­ences. https://doi.org/10.1109/hicss.2013.626.

‣ Xu, Ying, Tin­g­long Dai, Katia Sycara, and Michael Lewis. 2012. “A Mechanism Design Model to Enhance Performance in Human-Multirobot Teams.” In Pro­ceed­ings of the Annu­al Human Agent Robot Team­work Work­shop, Boston, MA.

◦ Cited as the first to pro­pose “the idea of autonomous agents report­ing prob­lems to a cen­tral authority”

‣ Sanchez-Anguix, Victor, Tin­g­long Dai, Zhaleh Semnani-Azad, Katia Sycara, and Vicente Botti. 2012. “Modeling Power Distance and Individualism/Collectivism in Negotiation Team Dynamics.” In Pro­ceed­ings of the 45th Hawaii Inter­na­tion­al Con­fer­ence on Sys­tem Sci­ences. https://doi.org/10.1109/hicss.2012.436.

‣ Xu, Ying, Tin­g­long Dai, Katia Sycara, and Michael Lewis. 2010. “Service Level Differentiation in Multi-Robots Control.” In Pro­ceed­ings of 2010 IEEE/RSJ Inter­na­tion­al Con­fer­ence on Intel­li­gent Robots and Sys­tems. https://doi.org/10.1109/iros.2010.5649366.

Marketing-Operations Interfaces

‣ Dai, Tin­g­long, and Shubhranshu Singh. 2025. “Artificial Intelligence on Call: The Physician's Decision of Whether to Use AI in Clinical Practice.” Jour­nal of Mar­ket­ing Research 62(5): 854–875. https://doi.org/10.1177/00222437251332898.

‣ Dai, Tin­g­long, and Shubhranshu Singh. 2025. “Overdiagnosis and Undertesting for Infectious Diseases.” Mar­ket­ing Sci­ence 44(2): 353–373. https://doi.org/10.1287/mksc.2022.0038.

◦ Fea­tured by New York Times and VoxEU
◦ Select­ed by COVID Economics as lead arti­cle of Issue 58

‣ Dai, Tin­g­long, Rongzhu Ke, and Christopher Thomas Ryan. 2021. “Incentive Design for Operations-Marketing Multitasking.” Man­age­ment Sci­ence 67 (4): 2211–2230. https://doi.org/10.1287/mnsc.2020.3651.

‣ Zuo, Ruiting, Tin­g­long Dai, and Jussi Keppo. 2023. “Incentive Design and Pricing under Limited Inventory.” Work­ing paper. http://dx.doi.org/10.2139/ssrn.3989971.

‣ Li, Yifu, Tin­g­long Dai, and Xiangtong Qi. 2022. A Theory of Interior Peaks: Activity Sequencing and Selection for Service Design. Man­u­fac­tur­ing & Ser­vice Oper­a­tions Man­age­ment 24(2): 993–1001. https://doi.org/10.1287/msom.2021.0970.

◦ 2017 IBM Ser­vice Sci­ence Best Stu­dent Paper Award, Finalist
◦ 2018 POMS-HK Inter­na­tion­al Con­fer­ence, Best Stu­dent Paper Com­pe­ti­tion, Hon­or­able Mention

‣ Dai, Tin­g­long, and Shubhranshu Singh. 2020. “Conspicuous by Its Absence: Diagnostic Expert Testing Under Uncertainty.” Mar­ket­ing Sci­ence 39 (3): 540–563. https://doi.org/10.1287/mksc.2019.1201.

◦ Fea­tured by Agency for Healthcare Research and Quality, Hub of Johns Hopkins University and INFORMS Podcast

‣ Yuan, Xuchuan, Tin­g­long Dai, Lucy Gongtao Chen, and Srinagesh Gavirneni. 2021. “Co-Opetition in Service Clusters with Waiting-Area Entertainment.” Man­u­fac­tur­ing & Ser­vice Oper­a­tions Man­age­ment 23 (1): 106–122. https://doi.org/10.1287/msom.2019.0815.

◦ Fea­tured by INFORMS Press Release and National University of Singapore

‣ Dai, Tin­g­long, and Kinshuk Jerath. 2019. “Salesforce Contracting Under Uncertain Demand and Supply: Double Moral Hazard and Optimality of Smooth Contracts.” Mar­ket­ing Sci­ence 38 (5): 852–70. https://doi.org/10.1287/mksc.2019.1171.

‣ Chen, Ying-Ju, Tin­g­long Dai, C. Gizem Korpeoglu, Ersin Körpeoğlu, Ozge Sahin, Christopher S. Tang, and Shihong Xiao. 2020. “OM Forum—Innovative Online Platforms: Research Opportunities.” Man­u­fac­tur­ing & Ser­vice Oper­a­tions Man­age­ment 22 (3): 430–445. https://doi.org/10.1287/msom.2018.0757. [lead article]

‣ Dai, Tin­g­long, and Kinshuk Jerath. 2016. “Impact of Inventory on Quota-Bonus Contracts with Rent Sharing.” Oper­a­tions Research 64 (1): 94–98. https://doi.org/10.1287/opre.2015.1461.

‣ Dai, Tin­g­long, and Kinshuk Jerath. 2013. “Salesforce Compensation with Inventory Considerations.” Man­age­ment Sci­ence 59 (11): 2490–2501. https://doi.org/10.1287/mnsc.2013.1809.

Global Supply Chains

‣ Cohen, Maxime C., Tin­g­long Dai, Georgia Perakis, Narendra Agrawal, Gad Allon, Robert Boute, Gérard Cachon, Zhe Chen, Morris Cohen, Rares Cristian, Vinayak Deshpande, Francis de Véricourt, Jan C. Fransoo, Joren Gijsbrechts, Pavithra Harsha, Ming Hu, Pınar Keskinocak, Caleb Kwon, Hau Lee, Sheng Liu, Konstantina Mellou, Ishai Menache, Jason Miller, Serguei Netessine, Tava Olsen, Jeevan Pathuri, Robert Peels, Yongzhi Qi, Ananth Raman, Anne Robinson, Max Shen, Masha Shunko, David Simchi-Levi, Hannah Smalley, Jeannette Song, Jayashankar M. Swaminathan, Christopher S. Tang, Sridhar Tayur, Maxi Udenio, Jan Van Mieghem, Lillian Yuqian Xu, Dennis Zhang. 2025. ”Supply Chain Management in the AI Era: A Vision Statement from the Operations Management Community.” Man­u­fac­tur­ing & Ser­vice Oper­a­tions Man­age­ment, accept­ed for pub­li­ca­tion (Feb­ru­ary 2026). http://dx.doi.org/10.2139/ssrn.5792542.

‣ Socal, Mariana P., Yunxiang Sun, Jeromie Ballreich, Joy Acha, Mohammad Ali Yazdi, Tin­g­long Dai, and Maqbool Dada. 2026. “Potential Impact of Tariffs on Active Pharmaceutical Ingredients on the Price of US-Made Generic Drugs.” Health Affairs Schol­ar 4(2), qxaf247. https://doi.org/10.1093/haschl/qxaf247. [PDF]

‣ Socal, Mariana P., Yunxiang Sun, Jeromie M. Ballreich, Jennifer Dailey Lambert, Tin­g­long Dai, and Maqbool Dada. 2025. “US Antibiotic Importation and Supply Chain Vulnerabilities.” JAMA Health Forum 6(10): e253871. Pub­lished online Octo­ber 3, 2025. https://doi.org/10.1001/jamahealthforum.2025.3871. [PDF]

‣ Dai, Tin­g­long, David Simchi-Levi, Michelle Xiao Wu, and Yao Xie. 2025. “Assured Autonomy: How Operations Research Powers and Orchestrates Generative AI Systems.” Work­ing paper. https://doi.org/10.2139/ssrn.5996875.

‣ Socal, Mariana P., Joy Acha, Chia-Yu Yang, Yunxiang Sun, Maqbool Dada, Tin­g­long Dai, Gerard Anderson, and Jeromie Ballreich. 2025. “Key Drivers and Mitigation Strategies of Oncology Drug Shortages 2023 to 2025.” The Can­cer Jour­nal 31(5). https://doi.org/10.1097/ppo.0000000000000791.

‣ Socal, Mariana, Maqbool Dada, and Tin­g­long Dai. 2025. “Prescription for Made in America? Tariffs and U.S. Drug Manufacturing.” Health Affairs Schol­ar, 3(7):qxaf122. https://doi.org/10.1093/haschl/qxaf122. [PDF]

‣ Dai, Tin­g­long, and Jayashankar M. Swaminathan. 2025. Artificial Intelligence and Operations: A Foundational Framework of Emerging Research and Practice. Pro­duc­tion and Oper­a­tions Man­age­ment, forth­com­ing. https://doi.org/10.1177/10591478251412943.

‣ Dada, Maqbool, Tin­g­long Dai, Yunxiang Sun, and Mariana Socal. 2025. “Tariffs as a Hidden Tax: Price Pass-Through in Multi-Stage Supply Chains.” Work­ing paper. http://doi.org/10.2139/ssrn.5237643.

‣ Dai, Tin­g­long, and Christopher S. Tang. 2024. “De-risking Global Supply Chains: Looking Beyond Material Flows.” Asia Pol­i­cy 19 (4): 153–176. https://doi.org/10.1353/asp.2024.a942841. [Free PDF courtesy of the Hinrich Foundation]

‣ Zhong, Huaiyang, Guihua Wang, and Tin­g­long Dai. 2025. “Wheels on the Bus: Impact of Vaccine Rollouts on Demand for Public Transportation.” Pro­duc­tion and Oper­a­tions Man­age­ment, forth­com­ing. https://doi.org/10.1177/10591478251377162.

‣ Dai, Tin­g­long, and Christopher S. Tang. 2024. “Natural Hazards and Supply Chain.” In Oxford Research Encyclopedia of Natural Hazard Science. D. Benouar (Ed), Oxford Uni­ver­si­ty Press. https://doi.org/10.1093/acrefore/9780199389407.013.512.

‣ Dai, Tin­g­long, Hau L. Lee, and Christopher S. Tang. 2024. “Toward Supply-Chain-Aware ESG Measures.” In Responsible and Sustainable Operations: The New Frontier. C. S. Tang (Ed), pp. 235–252. Springer. https://doi.org/10.1007/978-3-031-60867-4_15.

‣ Dai, Tin­g­long, and Christopher S. Tang. 2022. “Everybody Talks About Made in America. But It Isn’t That Simple.” Wall Street Jour­nal. Octo­ber 23. https://on.wsj.com/3zouROt.

‣ Dai, Tin­g­long, and Christopher S. Tang. 2022. “Integrating ESG Measures and Supply Chain Management: Research Opportunities in the Post-Pandemic Era.” Ser­vice Sci­ence 14 (1): 1–12. https://doi.org/10.1287/serv.2021.0295. [lead article]

‣ Mak, Ho-Yin, Tin­g­long Dai, and Christopher S. Tang. 2022. “Managing Two-Dose COVID-19 Vaccine Rollouts with Limited Supply: Operations Strategies for Distributing Time-Sensitive Resources.” Pro­duc­tion and Oper­a­tions Man­age­ment 31 (12): 4424–4442. https://doi.org/10.1111/poms.13862.

‣ Dai, Tin­g­long, and Jing-Sheng Song. 2021. “Transforming COVID-19 Vaccines into Vaccination.” Health Care Man­age­ment Sci­ence 24 (3): 455–459. https://doi.org/10.1007/s10729-021-09563-3. [lead article]

‣ Liljenquist, Dan, Tin­g­long Dai, and Ge Bai. 2021. “A Nonprofit Public Utility Approach to Enhance Next-Generation Vaccine Manufacturing Capacity.” Pop­u­la­tion Health Man­age­ment 24 (5): 546–547. https://doi.org/10.1089/pop.2020.0377.

‣ Dai, Tin­g­long, Muhammad H. Zaman, William Padula, and Patricia M. Davidson. 2021. “Supply Chain Failures Amid Covid-19 Signal a New Pillar for Global Health Preparedness.” Jour­nal of Clin­i­cal Nurs­ing 30(1–2): e1–e3.

‣ Dai, Tin­g­long, Ge Bai, and Gerard Anderson. 2020. “PPE Supply Chain Needs Data Transparency and Stress Testing.” Jour­nal of Gen­er­al Inter­nal Med­i­cine 35(9): 2748-2749.

◦ Altmetric = 230 (as of July 2020); ranked No. 2 (the 98th per­centile) of the 131 tracked arti­cles of a sim­i­lar age in Jour­nal of Gen­er­al Inter­nal Med­i­cine and the 98th per­centile of the 219,632 arti­cles of a sim­i­lar age in all journals

◦ Fea­tured in the final report by the U.S. National Academies of Sciences, Engineering, and Medicine Committee on Security of America’s Medical Supply Chain

‣ Wuest, Thorsten, Andrew Kusiak, Tin­g­long Dai, and Sridhar R. Tayur. 2020. “Impact of COVID-19 on Manufacturing and Supply Networks — The Case for AI-Inspired Digital Transformation.” Work­ing report. https://doi.org/10.2139/ssrn.3593540.

◦ A short­ened ver­sion, enti­tled “Impact of COVID-19: The Case for AI-Inspired Digital Transformation,” was pub­lished in the June 2020 issue of OR/MS Today and fea­tured on the cover.

‣ Dai, Tin­g­long, and Sridhar Tayur. 2017. “The Evolutionary Trends of POM Research in Manufacturing.” In Routledge Companion to Production and Operations Management. M. Starr and S. Gup­ta (Eds), pp. 647–662. Lon­don, U.K: Rout­ledge. [Link to preprint]

‣ Dai, Tin­g­long, Soo-Haeng Cho, and Fuqiang Zhang. 2016. “Contracting for On-Time Delivery in the U.S. Influenza Vaccine Supply Chain.” Man­u­fac­tur­ing & Ser­vice Oper­a­tions Man­age­ment 18 (3): 332–346. https://doi.org/10.1287/msom.2015.0574.

◦ Fea­ture Arti­cle in the Sum­mer 2016 issue of M&SOM
◦ Fea­tured by Hub of Johns Hopkins University, Washington University in St. Louis Newsroom, and Pharmacy Times

Books

AI in Supply Chains: Perspectives from Global Thought Leaders

AI in Supply Chains cover

Full Title: AI in Sup­ply Chains: Per­spec­tives from Glob­al Thought Leaders

Co-edi­tors: Maxime C. Cohen and Tin­g­long Dai

Pub­lish­er: Springer

DOI: 10.1007/978-3-032-07054-8

ISBN-10: 3032070538

Contributors
Narendra Agrawal (San­ta Clara University)
Gad Allon (Uni­ver­si­ty of Pennsylvania)
Robert Boute (Vler­ick Busi­ness School; KU Leuven)
Gérard Cachon (Uni­ver­si­ty of Pennsylvania)
Zhe Chen (JD.com)
Morris Cohen (Uni­ver­si­ty of Pennsylvania)
Rares Cristian (Mass­a­chu­setts Insti­tute of Technology)
Vinayak Deshpande (Uni­ver­si­ty of North Car­oli­na at Chapel Hill)
Francis de Véricourt (ESMT Berlin)
Jan C. Fransoo (Tilburg University)
Joren Gijsbrechts (Ramon Llull Uni­ver­si­ty (ESADE))
Pavithra Harsha (IBM)
Ming Hu (Uni­ver­si­ty of Toronto)
Pınar Keskinocak (Geor­gia Insti­tute of Technology)
Caleb Kwon (Uni­ver­si­ty of Texas at Austin)
Hau Lee (Stan­ford University)
Sheng Liu (Uni­ver­si­ty of Toronto)
Konstantina Mellou (Microsoft)
Ishai Menache (Microsoft)
Jason Miller (Michi­gan State University)
Serguei Netessine (Uni­ver­si­ty of Pennsylvania)
Tava Olsen (Uni­ver­si­ty of Melbourne)
Jeevan Pathuri (Microsoft)
Georgia Perakis (Mass­a­chu­setts Insti­tute of Technology)
Robert Peels (Flo­stock)
Yongzhi Qi (JD.com)
Ananth Raman (Har­vard University)
Anne Robinson (Robin­son Insights)
Max Shen (The Uni­ver­si­ty of Hong Kong)
Masha Shunko (Uni­ver­si­ty of Washington)
David Simchi-Levi (Mass­a­chu­setts Insti­tute of Technology)
Hannah Smalley (Geor­gia Insti­tute of Technology)
Jeannette Song (Duke University)
Jayashankar M. Swaminathan (Uni­ver­si­ty of North Car­oli­na at Chapel Hill)
Christopher S. Tang (Uni­ver­si­ty of Cal­i­for­nia, Los Angeles)
Sridhar Tayur (Carnegie Mel­lon University)
Maxi Udenio (KU Leuven)
Jan Van Mieghem (North­west­ern University)
Lillian Yuqian Xu (Uni­ver­si­ty of North Car­oli­na at Chapel Hill)
Dennis Zhang (Wash­ing­ton Uni­ver­si­ty in St. Louis)
Buy/Read the Book

Springer Amazon

Handbook of Healthcare Analytics

Handbook of Healthcare Analytics cover

Full Title: Hand­book of Health­care Ana­lyt­ics: The­o­ret­i­cal Min­i­mum for Con­duct­ing 21st Cen­tu­ry Research on Health­care Operations

Edi­tors: Tin­g­long Dai and Sridhar Tayur

Pub­lish­er: John Wiley & Sons, Sep­tem­ber 2018

ISBN: 978-1-119-30094-6

Endorsed by: Nitin Nohria, John P. Roberts, Alvin E. Roth, and Christopher S. Tang

Contributors
Mustafa Akan (Carnegie Mellon)
Itai Ashlagi (Stan­ford)
Baris Ata (Chica­go Booth)
Turgay Ayer (Geor­gia Tech)
Qiushi Chen (Penn State)
Soo-Haeng Cho (Carnegie Mellon)
Donald Fischer (High­mark)
Nagesh Gavirneni (Cor­nell)
Joel Goh (NUS/Harvard)
Diwas KC (Emory)
Vidyadhar Kulkarni (Uni­ver­si­ty of North Car­oli­na at Chapel Hill)
Nadia Lahrichi (Poly­tech­nique Montréal)
Jay Levine (MIT)
Nan Liu (Boston College)
Karthik Natarajan (Min­neso­ta)
Rema Padman (Carnegie Mellon)
Cem Randa (UCSF)
Louis-Martin Rousseau (Poly­tech­nique Montréal)
Alan Scheller-Wolf (Carnegie Mellon)
Hummy Song (Whar­ton)
Jayashankar M. Swaminathan (Uni­ver­si­ty of North Car­oli­na at Chapel Hill)
Van-Anh Truong (Colum­bia)
Willem-Jan Van Hoeve (Carnegie Mellon)
Senthil Veeraraghavan (Whar­ton)
Hui Zhao (Penn State)
Buy/Read the Book

Wiley Amazon Apple Books Google Books

Per­spec­tives on AI and Sup­ply Chains 

‣ David Simchi-Levi, Tin­g­long Dai, Ishai Menache, and Michelle Xiao Wu. 2025. Democratizing Optimization with Generative AI. Work­ing paper.

‣ Chirantan Chatterjee and Tin­g­long Dai. 2025.  How Can AI Speed Life-Saving Cures to Patients? Bio­Process Inter­na­tion­al 23(10): e1. October. 

‣ Tin­g­long Dai, David Simchi-Levi. 2025. A New Hope? Insights from the 2025 Edition of INFORMS Journals’ Impact Factors. OR/MS Today. Sep­tem­ber 2.

‣ Tin­g­long Dai, Risa M. Wolf, and Haiyang Yang. 2025. “Unlearning in Medical AI: A New Frontier for Privacy, Regulation, and Trust.” Health Affairs Fore­front. August 26.

‣ Holly Wiberg, , Tin­g­long Dai, Henry Lam, and Radhika Kulkarni. 2025. Synergizing Artificial Intelligence and Operations Research: Perspectives from INFORMS Fellows on the Next Frontier. INFORMS Jour­nal on Data Sci­ence. July 8.

‣ Madeline Sagona, Tin­g­long Dai, Mario Macis, Michael Darden. 2025. Trust in AI-Assisted Health Systems and AI’s Trust in Humans. npj Health Sys­tems. March 28.

‣ Stephen Gilbert, Tin­g­long Dai, Rebecca Mathias. 2025. Consternation as Congress Proposal for Autonomous Prescribing AI Coincides With the Haphazard Cuts at the FDA. npj Dig­i­tal Med­i­cine. March 18.

‣ Segev Wasserkrug, Vinod Cheriyan, Tin­g­long Dai, Juan R. Jaramillo, Sven Koenig, Ramayya Krishnan, Radhika Kulkarni, Henry Lam, Fred Oswald, Thiago Serra, Mark S. Squillante, Anjana Susarla, Pascal Van Hentenryck, Holly Wiberg. 2025. A Prominent Role for INFORMS in the Age of AI: Bringing Together AI and OR/MS for Better Organizational and Societal Decision-Making. OR/MS Today. March 3.

‣ Tin­g­long Dai, Christopher S. Tang. 2025. How Tariffs Can Hurt American Supply Chains. Bal­ti­more Sun. Feb­ru­ary 25.

‣ Tin­g­long Dai. 2025. What to Watch in the Coming AI Policy Shake-Up. Deseret News. Jan­u­ary 18.

‣ Tin­g­long Dai, Christopher S. Tang. 2024. De-risking Global Supply Chains: Looking Beyond Material Flows. Asia Pol­i­cy 19 (4): 153–176. Octo­ber 25. [Free PDF courtesy of the Hinrich Foundation]

‣ Tin­g­long Dai. 2024. Supply Chain Resilience in the Age of Climate Change. Phar­ma Man­u­fac­tur­ing. Sep­tem­ber 25.

‣ Tin­g­long Dai. 2024. To Make Effective AI Policy You Must Trust Those Who’ve Been There. Fed­er­al News Net­work. June 11.

‣ Tin­g­long Dai, Michael Abramoff. 2024. Toward a Science of Scaling Medical Artificial Intelligence. Med­ical Eco­nom­ics. June 7.

‣ Tin­g­long Dai. 2024. History Says Tariffs Rarely Work, but Biden’s 100% Tariffs on Chinese EVs Could Defy the Trend. The Con­ver­sa­tion. May 17.

‣ Kofi Arhin, Tin­g­long Dai. 2024. The Class of 2024 and the Art of Generative AI. Inno­va­tion & Tech Today. May 1.

‣ Yuna Nakayasu, Tin­g­long Dai. 2024. Taking Geographical Luck Out of Emergency Care With AI: Generative AI With Vision Will Be Essential to the Future of Emergency Medicine. EMS1. April 29.

‣ Michael Abramoff, Tin­g­long Dai, James Zou. 2024. Scaling Adoption of Medical Artificial Intelligence: Reimbursement from Value-Based Care and Fee-for-Service Perspectives. NEJM AI 1(5): AIpc2400083. April 12.

‣ Tin­g­long Dai. 2024. Despite Fears, Supply-Chain Crisis from Key Bridge Collapse Can Be Averted. Bal­ti­more Ban­ner. March 28.

‣ Tej D. Azad, Tin­g­long Dai. 2024. Do No Harm — The Imperative for Purposeful AI Regulation in Health Care. Med­ical Eco­nom­ics. March 21.

‣ Tin­g­long Dai. 2023. U.S. Needs to Shore Up Medical Device Manufacture or Risk Vulnerability in Times of Crisis. Bal­ti­more Sun. Decem­ber 26.

‣ Tin­g­long Dai, Christopher S. Tang, Hau Lee. 2023. LEGO’s ESG Dilemma: Why an Abandoned Plan to Use Recycled Plastic Bottles Is a Wake-Up Call for Supply Chain Sustainability. The Con­ver­sa­tion. Octo­ber 5.

‣ Tin­g­long Dai, Christopher S. Tang. 2023. China Derisking Is Inevitable. To Minimize the Pain, Supply Chains Need a Revolution. Bar­ron’s. Sep­tem­ber 6.

‣ Tin­g­long Dai. 2023. The Role of Artificial Intelligence in Managing Postpandemic Supply-Chain Risks. Bio­Process Inter­na­tion­al 21(7–8), 56.

‣ Tin­g­long Dai, Christopher S. Tang. 2023. America’s Shaky Pharmaceutical Supply Chain Is a Prescription for Disaster. Bar­ron’s. June 28.

‣ Tin­g­long Dai. 2023. Generative AI Is Not Entertainment — It Is Already a Threat to Our Way of Life. The Hill. June 10.

‣ Tin­g­long Dai. 2023. Is It Legal for Generative AI to Use Copyrighted Material without Permission? CQ Researcher. April 21.

‣ Tin­g­long Dai, Christopher S. Tang. 2022. China’s Sudden Shift on Zero-Covid Puts Supply Chains at Risk Again. Bar­ron’s. Decem­ber 14.

‣ Lauren Murphy, Tin­g­long Dai. 2022. Prioritizing Women Supply Chain Workers in ESG Efforts. Bloomberg Law. Novem­ber 17.

‣ Tin­g­long Dai, Christopher S. Tang. 2022. Everybody Talks About Made in America. But It Isn’t That Simple. Wall Street Jour­nal. Octo­ber 23.

‣ Tin­g­long Dai, Ho-Yin Mak, Christopher S. Tang. 2022. Making EVs Without China’s Supply Chain Is Hard, but Not Impossible—3 Supply Chain Experts Outline a Strategy. The Con­ver­sa­tion. August 31.

◦ Repub­lished in MarketWatch

‣ Tin­g­long Dai, Ho-Yin Mak, Christopher S. Tang. 2022. With Monkeypox, the U.S. Is Repeating Its Covid Supply-Chain Mistakes. Bar­ron’s. August 19.

‣ Tin­g­long Dai, Kara Morgan. 2022. In Fight Against Monkeypox, Government Isn’t Learning From Past Experience. Chica­go Sun-Times. August 6.

‣ Tin­g­long Dai, Kara Morgan. 2022. The Food Safety System Is Failing. Indus­try Week. July 13.

‣ Tin­g­long Dai, Christopher S. Tang. 2022. The Baby Formula Crisis Shows the Urgent Need to Fix Supply Chain Resilience. Bar­ron’s. June 2.

‣ Tin­g­long Dai. 2022. Supply Chain Transparency: A Growth Engine in the Wake of Crises. CEVA Insights. April 19.

‣ Tin­g­long Dai, Christopher S. Tang. 2022. It's the End of the Global Supply Chain as We Know It. Newsweek. April 19.

‣ Tin­g­long Dai. 2022. Russia’s War With Ukraine Could Permanently Reshape the Global Supply Chain. Fast Com­pa­ny. March 15

◦ Orig­i­nal­ly pub­lished in The Conversation on March 11, 2022, with the title of “Ukraine War and Anti-Rus­sia Sanc­tions on Top of COVID-19 Mean Even Worse Trou­ble Lies Ahead for Glob­al Sup­ply Chains”

‣ Loges­var Bal­agu­ru, Chen Dun, Andrea Mey­er, Sanuri Hen­nayake, Christi Walsh, Christo­pher Kung, Brit­tany Cary, Frank Migliarese, Tin­g­long Dai, Ge Bai, Kathleen Sutcliffe, Martin Makary. 2022. NIH Funding of COVID-19 Research in 2020: A Cross Sectional Study. BMJ Open 12(5), e059041. http://dx.doi.org/10.1136/bmjopen-2021-059041

◦ Fea­tured by New York Times

‣ Tin­g­long Dai, Christopher S. Tang. 2022. Unifying ESG and Supply Chain Thinking: An Urgent Call to Action in the Post-Pandemic Era. Asia­Glob­al Papers No. 5. Jan­u­ary 6. Asia Global Institute, Uni­ver­si­ty of Hong Kong.

‣ Tin­g­long Dai, Christopher S. Tang. 2021. The Infrastructure Bill Is Here. Can America Still Do Megaprojects?. Bar­ron’s. Novem­ber 16.

‣ Tin­g­long Dai, Christopher S. Tang. 2021. ESG Investing Has a Blind Spot That Puts the $35 Trillion Industry’s Sustainability Promises in Doubt: Supply Chains. The Con­ver­sa­tion. Novem­ber 9.

‣ Tin­g­long Dai, Kate Dwyer. 2021. Q+A: Supply Chain Issues Spike Shoppers’ Demands. The Hub (Johns Hop­kins Uni­ver­si­ty). Novem­ber 1.

‣ Dan Liljenquist, Tin­g­long Dai, Ge Bai. 2021. A Nonprofit Public Utility Approach to Enhance Next-Generation Vaccine Manufacturing Capacity. Pop­u­la­tion Health Man­age­ment 24(5), 546–547.

‣ Ravi Mittal, Surbhi Jain, Christopher G. Myers, Tin­g­long Dai, Amit Jain. 2021. A 100% COVID Vaccination Rate Is Possible – We Did It: The Raigarh Success Story Shows the Power of Behavioral and Motivational Strategies. Med­Page Today. Octo­ber 22.

‣ Sheldon H. Jacobson, Tin­g­long Dai. 2021. Lessons Learned From Hurricane Recovery Can Improve Supply Chains. The Hill. Sep­tem­ber 27.

‣ Tin­g­long Dai, Jeannette Song. 2021. Transforming COVID-19 Vaccines into Vaccination: Challenges and Opportunities for Management Scientists. Health Care Man­age­ment Sci­ence (3): 455–59. https://doi.org/10.1007/s10729-021-09563-3. [lead article]

‣ Amit Jain, Tin­g­long Dai, Christopher G. Myers, Pun­ya Jain, Shru­ti Aggar­w­al. 2021. Prioritising Surgical Cases Deferred by the COVID-19 Pandemic: An Ethics-Inspired Algorithmic Framework for Health Leaders. BMJ Leader 5(2), 124–126.

‣ Tin­g­long Dai. 2021. Why Johnson & Johnson Throwing Out 15 Million COVID-19 Vaccine Doses Shouldn’t Scare You. The Con­ver­sa­tion, April 1.

‣ Tin­g­long Dai, Christopher S. Tang, Ho-Yin Mak. 2021. Opinion: The Backlash Against Johnson & Johnson’s COVID-19 Vaccine Is Real and Risky — Here’s Exactly How To Make the Rollout a Success. Mar­ket­Watch. March 10.

◦ Read more than 700,000 times across The Con­ver­sa­tion and Mar­ket­Watch, among oth­er outlets

◦ Orig­i­nal­ly pub­lished in The Con­ver­sa­tion on March 5, 2021, with the title of “Backlash Against Johnson & Johnson’s COVID-19 Vaccine Is Real and Risky – Here’s How To Make Its Rollout a Success”

‣ Tin­g­long Dai, Ho-Yin Mak, Christopher S. Tang. 2021. The Great Promise of a One-Dose Vaccine. Bar­ron’s. Feb­ru­ary 26.

‣ Tin­g­long Dai. 2021. How To Fix the Mess of COVID-19 Vaccine Appointment Scheduling. Fast Com­pa­ny. Feb­ru­ary 23.

◦ Orig­i­nal­ly pub­lished in The Conversation on Feb­ru­ary 22, 2021, with the title of “How To Real­ly Fix COVID-19 Vac­cine Appoint­ment Scheduling”

◦ Repub­lished in The Daily Beast, MarketWatch, Nextgov, and Yahoo! News

‣ Tin­g­long Dai. 2021. The US Government’s $44 Million Vaccine Rollout Website Was a Predictable Mess – Here’s How To Fix the Broken Process Behind It. The Con­ver­sa­tion. Feb­ru­ary 4.

‣ Tin­g­long Dai. 2021. The Simple Reason West Virginia Leads the Nation in Vaccinating Nursing Home Residents. The Asso­ci­at­ed Press. Jan­u­ary 29.

◦ Orig­i­nal­ly pub­lished in The Conversation on Jan­u­ary 14, 2021

◦ Repub­lished in Fast Company, Quartz, and U.S. News & World Report

‣ Tin­g­long Dai, Prashant Yadav. 2021. Why Holding Second Doses of COVID-19 Vaccines in Reserve Is the Wrong Strategy. USA Today. Jan­u­ary 12.

◦ Pub­lished in the nation­al print edi­tion (Jan­u­ary 13, page 7A) with the title of “Release Sec­ond Dos­es To Speed Vaccinations”

‣ Saralyn Cruickshank, Tin­g­long Dai. 2021. Q+A: Making Sense of the Lagging U.S. COVID-19 Vaccination Effort. The Hub (Johns Hop­kins Uni­ver­si­ty). Jan­u­ary 8.

‣ Tin­g­long Dai, Muhammad H. Zaman, William Padula, Patricia M. Davidson. 2021. Supply Chain Failures Amid Covid-19 Signal a New Pillar for Global Health Preparedness. Jour­nal of Clin­i­cal Nurs­ing, 30(1–2), e1-e3.

‣ Tin­g­long Dai, Shubhranshu Singh. 2020. COVID-19 Diagnostic Testing and Viral Load Reporting. VoxEU.org. Decem­ber 23.

‣ Tin­g­long Dai, Christopher S. Tang. 2020. How to Distribute the COVID-19 Vaccine: Lessons From Amazon and Walmart. Fast Com­pa­ny. Decem­ber 16.

◦ Orig­i­nal­ly pub­lished in The Conversation on Decem­ber 15, 2020, with the title of “What Vac­cine Dis­tri­b­u­tion Plan­ners Can Learn From Ama­zon and Walmart”

◦ Repub­lished in National Interest, Quartz, Salon, and Scroll.in

◦ Trans­lat­ed to Span­ish and pub­lished in El Financiero and The Logistics World

‣ Tin­g­long Dai, Patrick Ercolano. 2020. Q+A: The Business of Delivering a Pandemic Vaccine. The Hub (Johns Hop­kins Uni­ver­si­ty). Decem­ber 4.

‣ Tin­g­long Dai, Guihua Wang, Ronghuo Zheng. 2020. How the Airline Industry Recovers From COVID-19 Could Determine Who Gets Organ Transplants. The Con­ver­sa­tion. Sep­tem­ber 28.

◦ Based on the paper enti­tled “Does Transportation Mean Transplantation? Impact of New Airline Routes on Sharing of Cadaveric Kidneys”

◦ Repub­lished by Associated Press, Austin’ NPR Station—KUT, Houston Chronicle, Public Radio International, National Interest, Simple Flying, and Yahoo! News

‣ Tin­g­long Dai, Christopher S. Tang. 2020. Safety First for Online Markets, or Customers May Shop Elsewhere. Bar­ron’s. August 25. (Repub­lished in MarketWatch.)

‣ Amit Jain, Tin­g­long Dai, Kristin Bibee, Christopher G. Myers. 2020. Covid-19 Created an Elective Surgery Backlog. How Can Hospitals Get Back on Track? Har­vard Busi­ness Review. August 10 (PDF).

‣ Tin­g­long Dai, Christopher S. Tang. 2020. Amazon Has a Trust Problem. Bar­ron’s. August 7. (Repub­lished in MarketWatch.)

‣ Ge Bai, Tin­g­long Dai, Shivaram Rajgopal. 2020. The PPE Supply Chain Is a Black Box—That Needs to Change. For­tune. July 25.

‣ Tin­g­long Dai, Christopher S. Tang. 2020. How to Build a Coronavirus Vaccine Supply Chain. Bloomberg Law. July 21.

‣ Tin­g­long Dai, Christopher S. Tang. 2020. Influenza Vaccine Supply Chain Lessons for Coronavirus. Bloomberg Law. July 21.

‣ Tin­g­long Dai, Christopher S. Tang. 2020. Too Fast, Too Furious: Is U.S. Vaccine Development Headed in the Wrong Direction? Bar­ron’s. July 16. (Repub­lished in MarketWatch.)

‣ Tin­g­long Dai, Ge Bai, Gerard Anderson. 2020. PPE Supply Chain Needs Data Transparency and Stress Testing. Jour­nal of Gen­er­al Inter­nal Med­i­cine 35(9), 2748–2749.

◦ Altmetric = 230 (as of July 2020); ranked No. 2 (the 98th per­centile) of the 131 tracked arti­cles of a sim­i­lar age in Jour­nal of Gen­er­al Inter­nal Med­i­cine and the 98th per­centile of the 219,632 arti­cles of a sim­i­lar age in all journals

‣ Tin­g­long Dai. 2020. Where Does Your PPE Come From? A Lack of Transparency Is Hurting Americans. Fast Com­pa­ny. July 15.

◦ Orig­i­nal­ly pub­lished in The Conversation on July 13, 2020, under the title of “What US Med­ical Sup­ply Chain Can Learn From the Fash­ion Indus­try”; also repub­lished in Yahoo! News, Scroll.in, Mic, and Houston Chronicle

‣ Tin­g­long Dai, Christopher S. Tang. 2020. The U.S. Medical Supply Chain Isn’t Ready for a Second Wave. Bar­ron’s. June 24. Fea­tured Arti­cle. (Repub­lished in MarketWatch.)

‣ Thorsten Wuest, Andrew Kusiak, Tin­g­long Dai, Sridhar Tayur. 2020. Impact of COVID-19: The Case for AI-Inspired Digital Transformation. OR/MS Today. 47 (3) 34–39.

‣ Tin­g­long Dai, Christopher S. Tang. 2020. Needed: A PPE Industrial Commons. EE Times. May 27.

‣ Tin­g­long Dai, Ashley Kilgore, Sridhar Tayur. 2020. From Products to People: The Growing Impact of Supply Chain Interruptions during the Coronavirus Pandemic. Resound­ing­ly Human Pod­cast (INFORMS). March 18.

‣ Goker Aydin, Tin­g­long Dai, Tim Parsons. 2020. Q+A: How Coronavirus Will Affect the Global Supply Chain. The Hub (Johns Hop­kins Uni­ver­si­ty). March 6.

Honors & Awards

MSOM Soci­ety Best Asso­ciate Edi­tor Award, Man­u­fac­tur­ing & Ser­vice Oper­a­tions Man­age­ment, 2025
MSOM Soci­ety Best Asso­ciate Edi­tor Award, Man­age­ment Sci­ence, Hon­or­able Men­tion, 2025
The Johns Hop­kins Nexus Award (Research Cat­e­go­ry), 2024
Com­mence­ment Speak­er, Doc­tor­al Com­mence­ment and Hood­ing Cer­e­mo­ny, Tep­per School of Busi­ness, Carnegie Mel­lon Uni­ver­si­ty, 2023
The Johns Hop­kins Dis­cov­ery Award, 2022
Man­age­ment Sci­ence Dis­tin­guished Ser­vice Award, 2018, 2019, 2020, 2021, 2022
Finan­cial Times Respon­si­ble Busi­ness Edu­ca­tion Award, Run­n­er-up, 2022
MSOM Soci­ety Ser­vice SIG Best Paper Award, Final­ist, 2022
The World’s Best 40 Under 40 MBA Pro­fes­sors, Poets & Quants, 2021
Johns Hop­kins Glob­al MBA Grad­u­a­tion Keynote Speak­er, 2021
Fel­low, Luo­han Acad­e­my, 2021–Present
Man­u­fac­tur­ing & Ser­vice Oper­a­tions Man­age­ment Mer­i­to­ri­ous Ser­vice Award, 2016, 2017, 2018, 2019, 2020, 2021
The Johns Hop­kins Dis­cov­ery Award, 2020
Wick­ham Skin­ner Ear­ly Career Award (Run­n­er-Up), 2020
Mal­one Cen­ter for Engi­neer­ing in Health­care Seed Grant Award, 2019
for the project “Per­son­al­ized Radi­a­tion Ther­a­py Treat­ment Plan­ning” (role: co-PI)
Dean’s Award for Fac­ul­ty Excel­lence, 2016, 2017, 2018, 2019
Black & Deck­er Com­pet­i­tive Research Grant, 2018, 2019
Pro­duc­tion and Oper­a­tions Man­age­ment Best Review­er Award, 2018
INFORMS Pub­lic Sec­tor Oper­a­tions Research Best Paper Award, 2017
for the paper “Jumping the Line, Charitably: Analysis and Remedy of Donor-Priority Rule”
The Johns Hop­kins Dis­cov­ery Award, 2015
for the project “Clin­i­cal Ambi­gu­i­ty and Con­flicts of Inter­ests in Inter­ven­tion­al Car­di­ol­o­gy Deci­­sion-Mak­ing” (role: lead PI)
POMS Best Health­care Paper Award (First Place Win­ner), 2012
for the paper enti­tled “Imaging Room and Beyond: The Underlying Economics behind Physicians’ Test-Ordering Behavior in Outpatient Services.”
INFORMS Pier­skalla Award for the Best Paper in Health­care (Run­n­er-Up), 2012
for the paper enti­tled “Contracting for On-Time Delivery in the U.S. Influenza Vaccine Supply Chain.”
POMS Best Health­care Paper Award (Run­n­er-Up), 2016
for the paper enti­tled “Clinical Ambiguity and Conflicts of Interests in Interventional Cardiology Decision-Making.”
POMS Col­lege of Sup­ply Chain Man­age­ment Best Stu­dent Paper Award (Final­ist), 2013
for the paper enti­tled “Contracting for On-Time Delivery in the U.S. Influenza Vaccine Supply Chain.”
Elwood S. Buf­fa Doc­tor­al Dis­ser­ta­tion Award (Final­ist), 2014
for the dis­ser­ta­tion enti­tled “Incen­tives in U.S. Health­care Oper­a­tions” (Summary).
INFORMS Case Com­pe­ti­tion (Sec­ond Place Win­ner), 2012
for the teach­ing case “Patient Expe­ri­ence Improve­ment at UPMC Eye Center.”

Invited Seminars

Amer­i­can Uni­ver­si­ty, Kogod School of Busi­ness (2024)
Ari­zona State Uni­ver­si­ty, Cen­ter for Accel­er­at­ing Oper­a­tional Effi­cien­cy (2021)
Aston Uni­ver­si­ty, Aston Busi­ness School (2023)
Bilkent Uni­ver­si­ty, Depart­ment of Indus­tri­al Engi­neer­ing (2021)
Blue Cross Blue Shield Asso­ci­a­tion, Wash­ing­ton, D.C. (2026)
Boston Col­lege, Car­roll School of Man­age­ment (2018)
Bran­deis Uni­ver­si­ty, Inter­na­tion­al Busi­ness School (2021)
Cardiff Uni­ver­si­ty, School of Math­e­mat­ics (2017)
Carnegie Mel­lon Uni­ver­si­ty, Tep­per School of Busi­ness & INFORMS Chap­ter (2021)
Carnegie Mel­lon Uni­ver­si­ty, Tep­per School of Busi­ness (2017)
Case West­ern Reserve Uni­ver­si­ty, Weath­er­head School of Man­age­ment (2024)
Chi­nese Uni­ver­si­ty of Hong Kong, CUHK Busi­ness School (2017)
City Uni­ver­si­ty of Hong Kong, CityU Col­lege of Busi­ness (2016)
City Uni­ver­si­ty of New York, Baruch Col­lege (2020)
Clark­son Uni­ver­si­ty, School of Busi­ness (2015)
Col­lege of William & Mary, Depart­ment of Math­e­mat­ics (2016)
Cor­nell Uni­ver­si­ty, SC John­son Col­lege of Busi­ness (2018)
Cor­nell Uni­ver­si­ty, John­son Grad­u­ate School of Man­age­ment (2013)
Dart­mouth Col­lege, Tuck School of Busi­ness, (2026, scheduled)
Duke Uni­ver­si­ty, Fuqua School of Busi­ness (2021)
Emory Uni­ver­si­ty, Goizue­ta Busi­ness School (2023)
George Wash­ing­ton Uni­ver­si­ty, School of Busi­ness (2023)
George­town Uni­ver­si­ty, McDo­nough School of Busi­ness (2017)
Geor­gia Insti­tute of Tech­nol­o­gy, Scheller Col­lege of Busi­ness, (2024)
Geor­gia Insti­tute of Tech­nol­o­gy, H. Mil­ton Stew­art School of Indus­tri­al and Sys­tems Engi­neer­ing (2017)
Har­vard Uni­ver­si­ty, Har­vard Busi­ness School (2023)
HEC Paris (2026, scheduled)
Hong Kong Uni­ver­si­ty of Sci­ence & Tech­nol­o­gy, Depart­ment of Indus­tri­al Engi­neer­ing and Logis­tics Man­age­ment (2016)
Indi­ana Uni­ver­si­ty, Kel­ley School of Busi­ness (2020)
INFORMS Ser­vice Sci­ence Online Forum Series (2025)
Indi­an School of Busi­ness (2026, scheduled)
INSEAD (2026, scheduled)
INSEAD (2020)
Insti­tute for Math­e­mat­i­cal and Sta­tis­ti­cal Inno­va­tion (2023)
Johns Hop­kins Med­i­cine, Arm­strong Insti­tute for Patient Safe­ty and Qual­i­ty (2026)
Johns Hop­kins Med­i­cine, JHI Part­ners Forum (2019)
Johns Hop­kins Uni­ver­si­ty, Bloomberg School of Pub­lic Health, Cen­ter for Health Ser­vices Out­comes Research (2025)
Johns Hop­kins Uni­ver­si­ty, Bloomberg School of Pub­lic Health, Cen­ter for Health Ser­vices Out­comes Research (2023)
Johns Hop­kins Uni­ver­si­ty, Bloomberg School of Pub­lic Health, Cen­ter for Health Ser­vices Out­comes Research (2021)
Johns Hop­kins Uni­ver­si­ty, Carey Busi­ness School (2013)
Johns Hop­kins Uni­ver­si­ty, Depart­ment of Applied Math­e­mat­ics and Sta­tis­tics (2022)
Johns Hop­kins Uni­ver­si­ty, Divi­sion of Infec­tious Dis­eases (2024)
Johns Hop­kins Uni­ver­si­ty, Hop­kins Busi­ness of Health Ini­tia­tive (2022)
Johns Hop­kins Uni­ver­si­ty, School of Med­i­cine, Depart­ment of Plas­tic & Recon­struc­tive Surgery (2023)
Johns Hop­kins Uni­ver­si­ty, School of Nurs­ing, Cen­ter for Immer­sive Learn­ing and Dig­i­tal Inno­va­tions (2023)
Johns Hop­kins Uni­ver­si­ty, School of Nurs­ing, Health Equi­ty Sem­i­nar (2025)
Johns Hop­kins Uni­ver­si­ty, School of Nurs­ing, Health Equi­ty Sem­i­nar (2024)
Johns Hop­kins Uni­ver­si­ty, School of Nurs­ing, Health Equi­ty Sem­i­nar (2023)
Lehigh Uni­ver­si­ty, Col­lege of Busi­ness (2024)
Lon­don Busi­ness School (2025)
Lon­don Busi­ness School (2019)
McGill Uni­ver­si­ty, Desau­tels Fac­ul­ty of Man­age­ment (2024)
McGill Uni­ver­si­ty, Ben­sadoun School of Retail Man­age­ment, Thought Leader Series (2021)
Moor­fields Eye Hos­pi­tal (NHS) & UCL Insti­tute of Oph­thal­mol­o­gy (2025)
Nanyang Tech­no­log­i­cal Uni­ver­si­ty, Nanyang Busi­ness School (2025)
Nation­al Uni­ver­si­ty of Sin­ga­pore, NUS Busi­ness School (2020)
The Ohio State Uni­ver­si­ty, Fish­er Col­lege of Busi­ness (2022)
Ore­gon State Uni­ver­si­ty, Sup­ply Chain Coun­cil (2022)
Queen’s Uni­ver­si­ty, Smith School of Busi­ness (2023)
Rice Uni­ver­si­ty, Jones Grad­u­ate School of Busi­ness (2024)
Rut­gers Uni­ver­si­ty, Rut­gers Busi­ness School, Post-Pan­dem­ic Sup­ply Chain and Health­care Man­age­ment Con­fer­ence (2021)
Sapien­za Uni­ver­si­ty of Rome, Depart­ment of Com­put­er, Con­trol, and Man­age­ment Engi­neer­ing Anto­nio Ruber­ti (2019)
Sin­ga­pore Man­age­ment Uni­ver­si­ty, Lee Kong Chi­an School of Busi­ness (2020)
Stan­ford Uni­ver­si­ty, Grad­u­ate School of Busi­ness (2023)
Stan­ford Uni­ver­si­ty, Eco­nom­ics of Trans­plan­ta­tion Work­shop (2020)
Stevens Insti­tute of Tech­nol­o­gy, School of Busi­ness (2013)
Syra­cuse Uni­ver­si­ty, Whit­man School of Man­age­ment (2025)
Tem­ple Uni­ver­si­ty, Fox School of Busi­ness (2024)
Tem­ple Uni­ver­si­ty, Fox School of Busi­ness (2021)
Texas Chris­t­ian Uni­ver­si­ty, Nee­ley School of Busi­ness, Nee­ley Ana­lyt­ics Ini­tia­tive, Keynote speak­er (2022)
Uni­ver­si­ty at Buf­fa­lo, School of Man­age­ment (2024)
Uni­ver­si­ty Col­lege Lon­don, UCL School of Man­age­ment (2025)
Uni­ver­si­ty Col­lege Lon­don, UCL School of Man­age­ment (2019)
Uni­ver­si­ty of Alber­ta, Alber­ta School of Busi­ness (2023)
Uni­ver­si­ty of British Colum­bia, Saud­er School of Busi­ness (2017)
Uni­ver­si­ty of Cal­i­for­nia, Berke­ley, Haas School of Busi­ness (2013)
Uni­ver­si­ty of Cal­i­for­nia, Irvine, Paul Mer­age School of Busi­ness (2024)
Uni­ver­si­ty of Cal­i­for­nia, Los Ange­les, UCLA Ander­son School of Man­age­ment (2022)
Uni­ver­si­ty of Cal­i­for­nia, River­side, School of Busi­ness (2022)
Uni­ver­si­ty of Cam­bridge, Judge Busi­ness School (2023)
Uni­ver­si­ty of Cam­bridge, Judge Busi­ness School (2019)
Uni­ver­si­ty of Chica­go, Booth School of Busi­ness (2017)
Uni­ver­si­ty of Chica­go, Booth School of Busi­ness (2016)
Uni­ver­si­ty of Cincin­nati, Lind­ner Col­lege of Busi­ness (2023)
Uni­ver­si­ty of Col­orado Boul­der, Leeds School of Busi­ness, Leeds AI Research Forum (2026)
Uni­ver­si­ty of Con­necti­cut, School of Busi­ness (2021)
Uni­ver­si­ty of Dubai, Col­lege of Busi­ness Admin­is­tra­tion (2023)
Uni­ver­si­ty of Hong Kong, Asia Glob­al Insti­tute (2022)
Uni­ver­si­ty of Hong Kong, Fac­ul­ty of Busi­ness and Eco­nom­ics (2013)
Uni­ver­si­ty of Illi­nois Urbana-Cham­­paign, Gies Col­lege of Busi­ness (2022)
Uni­ver­si­ty of Kansas, School of Busi­ness (2021)
Uni­ver­si­ty of Liv­er­pool, Man­age­ment School (2024)
Uni­ver­si­ty of Mary­land, Robert H. Smith School of Busi­ness (2022)
Uni­ver­si­ty of Mass­a­chu­setts Amherst, INFORMS Chap­ter (2022)
Uni­ver­si­ty of Mem­phis, FedEx Insti­tute of Tech­nol­o­gy (2025)
Uni­ver­si­ty of Mia­mi, Mia­mi Her­bert Busi­ness School, Health­care Ana­lyt­ics Work­shop (2024)
Univ­er sity of Min­neso­ta, Carl­son School of Man­age­ment (2025)
Uni­ver­si­ty of Min­neso­ta, Carl­son School of Man­age­ment (2013)
Uni­ver­si­ty of Nebraska–Lincoln, Col­lege of Busi­ness (2022)
Uni­ver­si­ty of North Car­oli­na at Chapel Hill, Kenan Fla­gler Busi­ness School (2022)
Uni­ver­si­ty of North Car­oli­na at Chapel Hill, Kenan Fla­gler Busi­ness School–Healthcare OM Work­shop (2019)
Uni­ver­si­ty of Notre Dame, Men­doza Col­lege of Busi­ness (2026, scheduled)
Uni­ver­si­ty of Oxford, Saïd Busi­ness School (2019)
Uni­ver­si­ty of Penn­syl­va­nia, The Whar­ton School (2023)
Uni­ver­si­ty of Rochester, Simon Busi­ness School (2019)
Uni­ver­si­ty of South­ern Cal­i­for­nia, Gould School of Law (2023)
Uni­ver­si­ty of South­ern Cal­i­for­nia, Mar­shall School of Busi­ness, (2023)
Uni­ver­si­ty of South­ern Cal­i­for­nia, Depart­ment of Indus­tri­al and Sys­tems Engi­neer­ing (2015)
Uni­ver­si­ty of Texas at Dal­las, Naveen Jin­dal School of Man­age­ment (2018)
Uni­ver­si­ty of Toron­to, Rot­man School of Man­age­ment (2023)
Uni­ver­si­ty of Utah, David Eccles School of Busi­ness (2013)
Uni­ver­si­ty of Vir­ginia, Dar­d­en School of Busi­ness (2018)
Uni­ver­si­ty of Wash­ing­ton, Fos­ter School of Busi­ness, MSCM Leader Series (2021)
Uni­ver­si­ty of Water­loo, Depart­ment of Man­age­ment Sci­ences (2015)
Uni­ver­si­ty of Wisconsin–Madison, Wis­con­sin School of Busi­ness (2019)
Vir­ginia Tech, Pam­plin Col­lege of Busi­ness (2025)
Wash­ing­ton Uni­ver­si­ty in St. Louis, Olin Busi­ness School (2020)
Yale Uni­ver­si­ty, Yale School of Man­age­ment (2013)

Service to the Community

Chair, 2022 POMS Chel­li­ah Sriskan­dara­jah Ear­ly Career Research Accom­plish­ments Award
Edi­to­r­i­al Positions:
Found­ing Depart­ment Edi­tor (with Maxime Cohen), “AI in Oper­a­tions,” Manufacturing & Service Operations Management, 2026–present
Asso­ciate Edi­tor, Management Science, 2022–present
Asso­ciate Edi­tor, Manufacturing & Service Operations Management, 2021–present
Senior Edi­tor, INFORMS Journal on Data Science, 2025–present
Senior Edi­tor, Production & Operations Management, 2019–present
Asso­ciate Edi­tor, npj Digital Medicine, 2024–present
Edi­to­r­i­al Board Mem­ber, Marketing Science, 2024–present
Asso­ciate Edi­tor, Service Science, 2024–present
Co-Edi­­tor (with Sanjay Mehrotra & Ebru Bish), Naval Research Logistics, Special Issue on “Developing Pandemic Preparedness Using Artificial Intelligence, Data Analytics, and Operations Research”, 2021–present
Asso­ciate Edi­tor, Naval Research Logistics, 2019–present
Asso­ciate Edi­tor, Health Care Management Science, 2020–2025
Guest Asso­ciate Edi­tor, Naval Research Logistics, Special Issue on Health Care Operations, 2018–2020
Mem­ber of Lead­er­ship Team, Hopkins Business of Health Initiative (HBHI), 2020–present
Mem­ber of Exec­u­tive Com­mit­tee, Johns Hopkins Institute for Data-Intensive Engineering and Science (IDIES), 2020–present
INFORMS Advo­ca­cy Gov­er­nance Com­mit­tee, 2022
INFORMS Diver­si­ty, Equi­ty, and Inclu­sion Ambas­sador, 2021
MSOM Diver­si­ty and Inclu­sion Com­mit­tee, 2020–2021
Com­mu­ni­ca­tions & Out­reach Coor­di­na­tor, INFORMS Health Applications Society, 2017, 2018
Chair, Com­mit­tee on Strate­gic Ini­tia­tives with Aca­d­e­m­ic Jour­nals, INFORMS Health Applications Society, 2019
Pan­elist: Nation­al Sci­ence Foun­da­tion (2014, 2020); Health Resources and Ser­vices Admin­is­tra­tion (2019)
Chair, INFORMS Public Sector Operations Research Best Paper Award, 2018
Clus­ter Chair: Health­care Appli­ca­tions, INFORMS 2018 Annual Meeting; Health­care Sys­tems & Appli­ca­tions, 2018 INFORMS International Conference
Jour­nal Review­er: Man­age­ment Sci­ence, Man­u­fac­tur­ing and Ser­vice Oper­a­tions Man­age­ment, Mar­ket­ing Sci­ence, Oper­a­tions Research, Nature, Nature Com­mu­ni­ca­tions, NEJM AI, Jour­nal of Mar­ket­ing Research, Jour­nal of Health Eco­nom­ics, Con­tem­po­rary Account­ing Research, Pro­duc­tion and Oper­a­tions Man­age­ment, Naval Research Logis­tics, IISE Trans­ac­tions, NEJM Cat­a­lyst, Sci­en­tif­ic Reports, Cal­i­for­nia Man­age­ment Review, Net­works, Vac­cine, Games, PNAS Nexus, PLOS One, Ser­vice Sci­ence, Med­ical Deci­sion Mak­ing, Socio-Eco­nom­ic Plan­ning Sci­ences, Jour­nal of the Oper­a­tional Research Soci­ety, Euro­pean Jour­nal of Oper­a­tional Research, Autonomous Agents and Mul­ti-Agent Sys­tems, Deci­sion Sci­ences, Oper­a­tions Research for Health Care, etc.
Con­fer­ence Review­er: MSOM Ser­vice SIG (2017, 2018, 2019, 2020, 2021, 2022, 2023); MSOM Health­care SIG (2017, 2018, 2019, 2020, 2022, 2023); MSOM Tech­nol­o­gy, Inno­va­tion and Entre­pre­neur­ship SIG (2023); MSOM Sup­ply Chain Man­age­ment SIG (2020, 2022); MSOM iFORM SIG (2018); Annu­al Meet­ing of the Soci­ety for Med­ical Deci­sion Mak­ing (2013, 2014, 2015, 2019); The Inau­gur­al ACM con­fer­ence on Equi­ty and Access in Algo­rithms, Mech­a­nisms, and Opti­miza­tion (EAAMO ’21)
Judge: SAS Prac­tice Prize (2024); The Inau­gur­al Wal­ly Hopp Best Health­care Paper Award (2023); POMS Col­lege of Health­care Oper­a­tions Man­age­ment Best Paper Com­pe­ti­tion (2013, 2016, 2017, 2018, 2019, 2020, 2021, 2022); INFORMS Pub­lic Sec­tor Oper­a­tions Research Best Paper Com­pe­ti­tion (2020); INFORMS TIMES Best Work­ing Paper Award (2020, 2021); INFORMS JFIG Paper Com­pe­ti­tion (2019, 2020); Johns Hop­kins Dis­cov­ery Award (2016, 2017, 2018, 2019, 2020, 2022, 2023); Johns Hop­kins Cat­a­lyst Award (2017, 2019, 2022); Elwood S. Buf­fa Doc­tor­al Dis­ser­ta­tion Award (2018); INFORMS Health Appli­ca­tion Soci­ety Best Stu­dent Paper Com­pe­ti­tion (2017, 2023); CSAMSE Best Paper Com­pe­ti­tion (2021, 2022)