 | This articlemay rely excessively on sourcestoo closely associated with the subject, potentially preventing the article from beingverifiable andneutral. Please helpimprove it by replacing them with more appropriatecitations toreliable, independent sources.(April 2022) (Learn how and when to remove this message) |
Dimitris J. Bertsimas | |
|---|---|
| Born | Athens, Greece |
| Citizenship | American |
| Alma mater | National Technical University of Athens,Athens, Greece Massachusetts Institute of Technology |
| Known for | optimization machine learning |
| Awards | Member of theUnited States National Academy of Engineering von Neumann Theory prize INFORMS President Award Erlang Prize Farkas Prize SIAM Optimization Prize |
| Scientific career | |
| Fields | Optimization |
| Institutions | Massachusetts Institute of Technology |
| Thesis | Probabilistic Combinatorial Optimization Problems (1988) |
| Doctoral advisor | Daniel J. Kleitman Amedeo Rodolfo Odoni[1] |
| Doctoral students | Michel Goemans Ioannis Paschalidis Aurelie Thiele |
Dimitris Bertsimas is an Americanapplied mathematician, and a professor in theSloan School of Management at theMassachusetts Institute of Technology (MIT),Cambridge, Massachusetts.
In 2005, Bertsimas was elected a member of theNational Academy of Engineering for contributions to optimization theory and stochastic systems and innovative applications in financial engineering and transportation.
Bertsimas received a Diploma in Electrical Engineering from theNational Technical University of Athens, Greece, in 1985 and an MS and PhD in Operations Research at the Massachusetts Institute of Technology in 1987 and 1988 respectively. Since 1988, he has been with the MIT faculty. His research interests include optimization, machine learning and applied probability and their applications in health care, finance, operations management and transportation. He has co-authored more than 250 scientific papers and five graduate level textbooks. He is the editor in Chief of INFORMS Journal on Optimization and former department editor in Optimization for Management Science and in Financial Engineering in Operations Research. He is the founding director of the Masters of Business Analytics at MIT. He is currently the Associate Dean of Business Analytics at MIT's Sloan School Management. He has supervised 81 doctoral students and he is currently supervising 25 others. He has been a serial entrepreneur in the areas of financial services, health care, education, machine learning and transportation.
