Students

Learn more about Professor Bertsimas' current and past students.

Student News

Benjamin Boucher

Congratulations to Benjamin who successfully defended his doctoral thesis today! Benjamin extended robust optimization models in very novel ways. He is continuing his career at Meta.

Congratulations to Zhen for successfully defending his thesis on the interplay of optimization and machine learning. Zhen is continuing his career at Google. Congratulations, Zhen!

Angelos Koulouras

The barrage of graduations continues. Angelos Koulouras defended his PhD thesis today. He has done excellent work in adaptive optimization in electricity markets, as well as in healthcare—though the latter was not part of his thesis. Angelos will be continuing his career at Amazon. Warm congratulations, Angelos!

Current Students

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Thodoris Koukouvinos

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George Margaritis

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Pericles Petrides

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Maura Suzanne Hegarty

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Vassilina Stoumpou

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Dewang Kumar Agarwal

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Graduated PhD Students

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

Artificial Intelligence for System Medicine: Methods and Applications, 2025

Progress on the Interplay of Machine Learning and Optimization, 2025

Adam Cheol Woo Kim

Predictive and Prescriptive Trees for Optimization and Control Problems, 2024

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

Towards an Artificial Neuroscience: Analytics for Language Model Interpretability, 2024

Leonard Boussioux

Multimodality: Models, Algorithms, and Applications, 2023

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

Graduated Postdoctoral Students

Bartolomeo Stellato

John Silberholrz

Angelos Georghiou

Ebrahim Nasrabadi

Christopher Maes

Eugene Perevalov

Graduated Masters Students

Prescriptive Methods for Adaptive Learning, 2020

School Choice: A Discrete Optimization Approach, 2020

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

Addressing the Fog of War in Reconnaissance Operations: A Robust Optimization Approach, 2013

Dynamic planning for underwater unmanned vehicles, 2013

An Analytics Approach to Designing Clinical Trials for Cancer”, 2013 (winner of the William Pierskalla award in 2013 for best paper in Health care)

Computational experiments for local search algorithms for binary and mixed integer optimization, 2010

Patterns of heart attacks, 2010

Polynomial policies in supply chain networks, 2010

Thai Dung Nguyen

Application of robust and inverse optimization in transportation, 2010

	
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