Tinglong Dai

Arti­fi­cial intel­li­gence is enter­ing every sys­tem we depend on, from hos­pi­tals to sup­ply chains to mar­kets. My research builds the the­o­ry and the evi­dence for get­ting that adop­tion right, so AI earns trust, widens access, and makes those sys­tems more resilient, not more fragile.

As a found­ing mem­ber of the Lead­er­ship Team of the Hopkins Business of Health Initiative and co-chair of the Johns Hopkins Workgroup on AI and Healthcare, my work explores how AI can sharp­en deci­sion-mak­ing, widen 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 cre­at­ed and teach the first-of-its-kind MBA course, Data Sci­ence: Arti­fi­cial Intel­li­gence, required for all full-time Hop­kins MBA stu­dents since 2021.