Dimitris Bertsimas
Vice Provost, Open Learning, Associate Dean of Business Analytics and the Boeing Leaders for Global Operations Professor of Management, MIT Sloan School of Management.
Who they work with
Dimitris Bertsimas is MIT’s vice provost for open learning, associate dean of business analytics and the Boeing Leaders for Global Operations Professor of Management at the MIT Sloan School of Management. His research interests include optimization, machine learning and applied probability, and their applications in health care, finance, operations management and transportation. In addition to his academic work, Bertsimas is also an entrepreneur. He has co-founded 10 analytics companies. He is a member of the National Academy of Engineering, an INFORMS fellow, and has received numerous awards, including the Jamieson Prize and the Samuel M. Seegal Prize. Bertsimas has co-authored eight books and over 350 scientific papers. He earned an SM and PhD in applied mathematics and operations research from MIT.
Selected Publications
- Petridis, P., Margaritis, G., Stoumpou, V., & Bertsimas, D. (2025). Holistic AI in medicine: Improved performance and explainability. npj Digital Medicine.
- Na, L., Villalobos Carballo, K., Pauphilet, J., Haddad-Sisakht, A., Kombert, D., Boisjoli-Langlois, M., Castiglione, A., Khalifa, M., Hebbal, P., Stein, B., & Bertsimas, D. (2025). Patient outcome predictions improve operations at Hartford HealthCare. INFORMS Journal on Applied Analytics.
- Bertsimas, D., Fazel-Zarandi, M. M., Ivanhoe, J., & Petridis, P. (2025). Early detection of opioid over-procurement: A semisupervised machine learning approach. Manufacturing & Service Operations Management, 27(6), 1889–1904.
Media
- June 26, 2025: Science Magazine, How Technology and Data Analytics Are Revolutionizing Healthcare to Save Lives: Insights from a New Book
- May 14, 2025: MIT News, Dimitris Bertsimas receives the 2025-2026 Killian Award
- May 5, 2025: MIT News, Q&A: A roadmap for revolutionizing health care through data-driven innovation