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Students
Learn more about Professor Bertsimas' current and past students.
Student
News
Leonard Boussioux
May 1, 2023
My doctoral student Léonard Boussioux successfully defended his Ph.D. thesis at MIT today presenting his pioneering work on combining multimodal AI and Optimization. Very proud of you! With the committee members my colleagues Alexandre Jacquillat and Patrick Jaillet. Leonard is joining the Foster School of Business at the University of Washington, Seattle as an assistant professor. Congratulations Leonard!
Liangyuan Na
April 25, 2023
My doctoral student Irra Na successfully defended her Ph.D. thesis at MIT today. With the committee members: my colleagues Nikos Trichakis and Jonas Jonnason. Irra presented her groundbreaking work on impacting healthcare at Hartford Health Care (HHC) system, the largest healthcare system in Connecticut with a lot of participation from our friends at HHC. Congratulations Irra! Very proud of you!
Vassilis Digalakis
April 14, 2023
My doctoral student Vassilis Digalakis successfully defended his Ph.D. thesis at MIT today. Very proud of you! With the committee members Alexandre Jacquillat from MIT and Wolfram Wisseman from Imperial College (remotely). Vassilis is joining HEC in Paris as an assistant professor. Congratulations Vassili!
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Current
Students
Baptiste Rossi
Expected completion
2025
Elijah Pivo
Expected completion
2025
Thodoris Koukouvinos
Expected completion
2025
George Margaritis
Expected completion
2026
Pericles Petrides
Expected completion
2026
Cindy Wang
Expected completion
2027
Jiayi Gu
Expected completion
2027
Lisa Everest
Expected completion
2027
Matthew Peroni
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
Graduated PhD
Students
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
Benjamin Boucher
A Novel Machine Learning Approach to Robust Optimization: Theory and Applications
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
Nicholas Johnson
Advances in Sparse and Low Rank Matrix Optimization for Machine Learning Applications, 2024
Wes Gurnee
Towards an Artificial Neuroscience: Analytics for Language Model Interpretability, 2024
Leonard Boussioux
Multimodality: Models, Algorithms, and Applications, 2023
Liangyuan Na
Optimal Decision Making for Healthcare Operations: Models and Implementation, 2023
Suleeporn Sujichantararat
A Simulated Annealing Approach to Designing Optimal Decision Trees for Classification, Prescriptive, and Survival Analysis, 2023
Vassilis Digalakis
Analytics under Variability, Volume, and Velocity with Applications to Sustainability and Healthcare, 2023
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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
Demetrios C. Kriezis
Global Non-Convex Optimization with Integer Variables, 2025.
Galit Lukin
Prescriptive Methods for Adaptive Learning, 2020
Justin Graham
School Choice: A Discrete Optimization Approach, 2020
Samer Haidar
Supply chain network strategy for consumer medical device introduction, 2016
Zachary Sanders
Multi-target tracking via mixed integer optimization, 2016
Kevin Rossillion
Optimized Air Asset Scheduling Within a Joint Air Operations Center, 2015
Christina Epstein
An Analytics Approach to Hypertension Treatment, 2014
Jonathan Paynter
Optimized Border Interdiction, 2014
Nicholas Jernigan
Robust Multi-modal, Multi-period, Multi-commodity Transportation: Models and Algorithms, 2014
David Culver
Addressing the Fog of War in Reconnaissance Operations: A Robust Optimization Approach, 2013
Emily Frost
Dynamic planning for underwater unmanned vehicles, 2013
Stephen Relyea
An Analytics Approach to Designing Clinical Trials for Cancer”, 2013 (winner of the William Pierskalla award in 2013 for best paper in Health care)
Jingting Zhou
Computational experiments for local search algorithms for binary and mixed integer optimization, 2010
Kimberly Shenk
Patterns of heart attacks, 2010
Liwei He
Polynomial policies in supply chain networks, 2010
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