Johns Hopkins University
Tinglong Dai
Ferrari Professor of Business
I build theory and evidence for how AI remakes healthcare, supply chains, and markets.
What I work on
Four questions at the edge of operations & AI ↗
Healthcare
Operations of clinical care: creating, evaluating, and scaling AI in medicine, diagnostics, transplantation, payment, and public health.
Explore ↗ 02AI at Scale
How AI gets adopted, trusted, regulated, and orchestrated across decisions.
Explore ↗ 03Marketing–Operations Interfaces
Where pricing, information, and operations decisions collide, including incentive design.
Explore ↗ 04Global Supply Chains
Resilience, sourcing, and coordination across borders.
Explore ↗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.