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Students
Learn more about Professor Bertsimas' current and past students.
Student
News
Elijah Pivo
May 1, 2026
Warm congratulations to my 109th PhD student, Eli Pivo, on the successful defense of his thesis, “A Holistic Approach for the Simulation, Evaluation, and Design of Organ Transplantation Policies in the U.S.” Eli has developed a unified simulator for organ transplantation outcomes across all major organs (kidney, liver, heart, lungs, and pancreas). The system runs in a matter of seconds and enables near real-time simulation and design of transplantation policies. Eli will continue his efforts at MIT, and I very much look forward to working together.
Matthew Peroni
April 27, 2026
Congratulations to my 108th PhD student, Matthew Peroni, who successfully defended his thesis entitled "Adaptive Machine Learning." Matthew is continuing his career at IBM. I wish you the very best, Matthew!
George Margaritis
April 24, 2026
Congratulations to my 107th PhD student, George Margaritis, on the successful defense of his thesis, “Holistic AI for Medicine, Explainability and Optimization.” George will be continuing his career at Meta. Wishing you all the best, George!
Next
Current
Students
Cindy Wang
Expected completion
2027
Jiayi Gu
Expected completion
2027
Lisa Everest
Expected completion
2027
Maura Suzanne Hegarty
Expected completion
2027
Vassilina Stoumpou
Expected completion
2027
Catherine Ning
Expected completion
2028
Karl Zhu
Expected completion
2028
Yubing Cui
Expected completion
2028
Carol Gao
Expected completion
2029
Dewang Kumar Agarwal
Expected completion
2029
Romain Puech
Expected completion
2029
Josephine Situ
Expected completion
2030
Julia Kim
Expected completion
2030
Lara Pontes
Expected completion
2030
Rohan Kumar
Expected completion
2030
Seehanah Tang
Expected completion
2030
Graduated PhD
Students
Elijah Pivo
A Holistic Approach for the Simulation, Evaluation, and Design of Organ Transplantation Policies in the U.S., 2026
George Margaritis
Holistic AI for Medicine, Explainability and Optimization, 2026
Matthew Peroni
Adaptive Machine Learning, 2026
Alex Paskov
Large-Scale Optimization using Reinforcement Learning, Dynamic Programming, and Column Generation, 2025
Angelos Koulouras
A Unified Adaptive Robust Optimization Approach to Electricity Markets Under Uncertainty, 2025
Baptiste Rossi
Learning Nonlinear Dynamics: Methods and Applications, 2025
Benjamin Boucher
A Novel Machine Learning Approach to Robust Optimization: Theory and Applications, 2025
Pericles Petrides
Bridging the Gap: From Artificial Intelligence and Optimization to Action, 2025
Thodoris Koukouvinos
Advances in Nonconvex and Robust Optimization, 2025
Yu Ma
Artificial Intelligence for System Medicine: Methods and Applications, 2025
Zhen Lin
Progress on the Interplay of Machine Learning and Optimization, 2025
Adam Cheol Woo Kim
Predictive and Prescriptive Trees for Optimization and Control Problems, 2024
Cynthia Zeng
Multimodal Machine Learning for Climate Adaptation, 2024
Danique de Moor
A Novel Approach for a Broad Class of Nonconvex Optimization Problems, 2024
Kimberly Villalobos Carballo
Integrating Optimization and Modern Machine Learning: Theory, Computation, and Healthcare Applications, 2024
Next
Graduated Postdoctoral
Students
Michael Li
2022-2023
Bartolomeo Stellato
2018-2020
Bart Van Parys
2016-2018
Shimrit Shtern
2015-2018
John Silberholrz
2015-2017
Nathan Kallus
2015-2016
Hoda Bidkhori
2012-2015
Phebe Vayanos
2012-2015
Angelos Georghiou
2012-2013
Ebrahim Nasrabadi
2010-2013
Rahul Mazumder
2012-2013
Christopher Maes
2009-2011
Vineet Goyal
2008-2010
Omid Nohadani
2006-2009
Eugene Perevalov
1999-2001
Graduated Masters
Students
Angela Chiu
Stochastic inventory and distribution problems, 1993
Ioannis Paschalidis
Bounds for multiclass queueing networks, 1992
Meng-Huai Chen
Optimal cash allocation in bank branches, 1991
Michael Ricard
Algorithms for the 0-1 integer programming problem, 1991
Phillip Chervi
A computational approach to probabilistic routing problems, 1989
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