Tin­g­long Dai is the Bernard T. Fer­rari Pro­fes­sor of Busi­ness at the Johns Hop­kins Carey Busi­ness School. He co-chairs the Johns Hop­kins Work­group on AI and Health­care and co-leads Johns Hop­kins’ Bloomberg Dis­tin­guished Pro­fes­sor­ship clus­ter on med­ical AI. His work focus­es on inte­grat­ing AI into clin­i­cal work­flows to improve pro­duc­tiv­i­ty, access, and equi­ty while pre­serv­ing human judg­ment, safe­ty, and account­abil­i­ty. A Vice Pres­i­dent at INFORMS and found­ing depart­ment edi­tor for AI in Oper­a­tions at Man­u­fac­tur­ing & Ser­vice Oper­a­tions Man­age­ment, he pub­lish­es in pre­mier jour­nals across oper­a­tions, mar­ket­ing, and med­i­cine and is quot­ed hun­dreds of times in nation­al and inter­na­tion­al media.

Tin­g­long Dai is the Bernard T. Fer­rari Pro­fes­sor of Busi­ness at the Johns Hop­kins Carey Busi­ness School and a lead­ing expert in human-AI inter­ac­tion, health­care ana­lyt­ics, and glob­al sup­ply chains. A fac­ul­ty mem­ber at Johns Hop­kins since 2013, he has helped shift health­care oper­a­tions man­age­ment from point-lev­el opti­miza­tion toward the behav­ioral, incen­tive, and pol­i­cy ques­tions that shape how care is deliv­ered. His cur­rent work focus­es on inte­grat­ing AI into clin­i­cal work­flows to improve pro­duc­tiv­i­ty, access, and equi­ty while pre­serv­ing human judg­ment, safe­ty, and accountability.

He co-chairs the Johns Hop­kins Work­group on AI and Health­care, co-leads Johns Hop­kins’ Bloomberg Dis­tin­guished Pro­fes­sor­ship clus­ter on med­ical AI, and serves on the lead­er­ship team of the Hop­kins Busi­ness of Health Ini­tia­tive. He is fac­ul­ty co-chair of the Johns Hop­kins Uni­ver­si­ty Coun­cil and a fac­ul­ty mem­ber of the uni­ver­si­ty’s Data Sci­ence and AI Insti­tute, with joint appoint­ments at the School of Nurs­ing and the Cen­ter for Dig­i­tal Health and Arti­fi­cial Intel­li­gence. He was elect­ed Vice Pres­i­dent of Mar­ket­ing, Com­mu­ni­ca­tions, and Out­reach at INFORMS, the world’s largest asso­ci­a­tion for the deci­sion and data sci­ences, and he is found­ing depart­ment edi­tor for AI in Oper­a­tions at Man­u­fac­tur­ing & Ser­vice Oper­a­tions Man­age­ment and an asso­ciate edi­tor at Man­age­ment Sci­ence and npj Dig­i­tal Med­i­cine.

At Carey he teach­es two full-time MBA core cours­es, Arti­fi­cial Intel­li­gence and Oper­a­tions Man­age­ment, and pio­neered the first-of-its-kind MBA course Data Sci­ence: Arti­fi­cial Intel­li­gence, required for all full-time stu­dents since 2021. Poets & Quants named him one of the World’s Best 40-Under-40 MBA Pro­fes­sors. His hon­ors include the Carnegie Mel­lon Uni­ver­si­ty Award for Pro­fes­sion­al Excel­lence, the INFORMS Pub­lic Sec­tor Oper­a­tions Research Best Paper Award, the POMS Best Health­care Paper Award, and three Johns Hop­kins Dis­cov­ery Awards, and he co-edit­ed the Hand­book of Health­care Ana­lyt­ics (Wiley, 2018).

His research appears in pre­mier jour­nals across oper­a­tions, mar­ket­ing, and med­i­cine, includ­ing Man­age­ment Sci­ence, Oper­a­tions Research, Mar­ket­ing Sci­ence, Man­u­fac­tur­ing & Ser­vice Oper­a­tions Man­age­ment, Har­vard Busi­ness Review, The Lancet, NEJM AI, JAMA Health Forum, and npj Dig­i­tal Med­i­cine. Through a ran­dom­ized con­trolled tri­al in Bangladesh, he showed that an FDA-autho­rized AI device can raise clin­i­cal pro­duc­tiv­i­ty by about 40 per­cent, among the first real-world evi­dence that AI can improve clin­i­cal pro­duc­tiv­i­ty, and his work on sup­ply-chain trans­paren­cy was cit­ed in the U.S. Nation­al Strat­e­gy for a Resilient Pub­lic Health Sup­ply Chain.

A fre­quent keynote speak­er and the 2023 doc­tor­al com­mence­ment speak­er at Carnegie Mel­lon Uni­ver­si­ty’s Tep­per School of Busi­ness, he is quot­ed hun­dreds of times in out­lets includ­ing the Asso­ci­at­ed Press, Bloomberg, CNN, The New York Times, NPR, The Wall Street Jour­nal, and The Wash­ing­ton Post, and has appeared on BBC News, CNBC, and PBS New­sHour. He earned his PhD in oper­a­tions man­age­ment and robot­ics from Carnegie Mel­lon Uni­ver­si­ty, span­ning the Tep­per School of Busi­ness and the Robot­ics Institute.