Tinglong Dai

Wel­come to my web­site. I am the Bernard T. Fer­rari Pro­fes­sor of Busi­ness at Johns Hop­kins Uni­ver­si­ty’s Carey Busi­ness School. My research spans health­care ana­lyt­ics, human-AI inter­ac­tion, glob­al sup­ply chains, and mar­ket­ing-oper­a­tions inter­faces.

As a found­ing mem­ber of the Lead­er­ship Team of the Hop­kins Busi­ness of Health Ini­tia­tive (HBHI) and co-chair of the Johns Hop­kins Work­group on AI and Health­care, my work explores how arti­fi­cial intel­li­gence can enhance deci­sion-mak­ing, improve health­care access, and advance oper­a­tional effi­cien­cy. I also co-lead the University’s Bloomberg Dis­tin­guished Pro­fes­sor­ship Clus­ter on Glob­al Advances in Med­ical Arti­fi­cial Intel­li­gence.

At Johns Hop­kins, I have devel­oped and taught the first-of-its-kind MBA course, Data Sci­ence: Arti­fi­cial Intel­li­gence, which has been required for all full-time Hop­kins MBA stu­dents since 2021. Poets & Quants named me one of the world’s best 40 busi­ness school pro­fes­sors under 40.

My recent writ­ing and media appear­ances have focused on arti­fi­cial intel­li­gence and glob­al sup­ply chain issues. I have appeared on live­na­tion­al and inter­na­tion­al tele­vi­sion such as BBC News, CNBC, and PBS New­sHour, and have been fea­tured in Asso­ci­at­ed Press, Bar­ron’s, Bloomberg, Busi­ness Insid­er, CBC, CNN, The Con­ver­sa­tion, Fast Com­pa­ny, Finan­cial Times, Forbes, For­tune, Globe and Mail, The Guardian, Har­vard Busi­ness Review, The Hill, Les Echos, NBC News, New York Times, Nikkei, NPR, USA Today, Wall Street Jour­nal, Wash­ing­ton Post, and Wired, among others.

My aca­d­e­m­ic work appears in Man­age­ment Sci­ence, Man­u­fac­tur­ing & Ser­vice Oper­a­tions Man­age­ment, Mar­ket­ing Sci­ence, Oper­a­tions Research, NEJM AI, and npj Dig­i­tal Med­i­cine, among oth­er lead­ing jour­nals. I serve as an Asso­ciate Edi­tor for Man­age­ment Sci­ence, Man­u­fac­tur­ing & Ser­vice Oper­a­tions Man­age­ment, npj Dig­i­tal Med­i­cine, Ser­vice Sci­ence, Naval Research Logis­tics, and Health Care Man­age­ment Sci­ence, as a Senior Edi­tor for INFORMS Jour­nal on Data Sci­ence and Pro­duc­tion and Oper­a­tions Man­age­ment, and as a mem­ber of the edi­to­r­i­al board of Mar­ket­ing Sci­ence. I also co-edit­ed the Hand­book of Health­care Ana­lyt­ics.

At Johns Hop­kins, I teach two required core MBA cours­es — Oper­a­tions Man­age­ment and Arti­fi­cial Intel­li­gence — and have taught an elec­tive course on Con­tract­ing: Incen­tive Design and Ana­lyt­ics. Since 2016, I have been orga­niz­ing the Johns Hop­kins Sym­po­sium on Health­care Oper­a­tions, an effort to bring togeth­er lead­ing clin­i­cians, health schol­ars, and policymakers.

I serve as Vice Pres­i­dent of Mar­ket­ing Com­mu­ni­ca­tion and Out­reach for INFORMS, the world’s largest asso­ci­a­tion for the deci­sion and data sci­ences. At Johns Hop­kins, I have served on the Exec­u­tive Com­mit­tee of the Johns Hop­kins Insti­tute for Data Inten­sive Engi­neer­ing and Sci­ence (IDIES) and hold joint fac­ul­ty appoint­ments at the Johns Hop­kins School of Nurs­ing and the Cen­ter for Dig­i­tal Health and Arti­fi­cial Intel­li­gence (CDHAI).

Before join­ing Johns Hop­kins in 2013, I earned a PhD (2013) and an MSIA (2009) in Oper­a­tions Man­age­ment and Robot­ics from Carnegie Mel­lon Uni­ver­si­ty’s Tep­per School of Busi­ness and Robot­ics Insti­tute. I also hold an MPhil from the Depart­ment of Indus­tri­al Engi­neer­ing and Deci­sion Ana­lyt­ics at the Hong Kong Uni­ver­si­ty of Sci­ence & Tech­nol­o­gy (2006) and a BEng in Automa­tion from Tongji Uni­ver­si­ty (2004).