Students

Learn more about Professor Bertsimas' current and past students.

Student News

Leonard Boussioux

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!

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

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!

Current Students

Expected completion

Expected completion

Thodoris Koukouvinos

Expected completion

George Margaritis

Expected completion

Pericles Petrides

Expected completion

Expected completion

Expected completion

Expected completion

Expected completion

Maura Suzanne Hegarty

Expected completion

Vassilina Stoumpou

Expected completion

Expected completion

Expected completion

Expected completion

Expected completion

Dewang Kumar Agarwal

Expected completion

Expected completion

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

Van Vinh Nguyen

Fairness and optimality in trading, 2010

Robust option pricing - an epsilon arbitrage approach, 2009

Optimizing the operations of the emergency department at the Beth Israel Hospital via simulation, 2008

Robust optimization applications, 2008

A robust optimization approach to network equilibrium, 2007

Optimal bounds for American options, 2006

A robust optimization approach to optimization of queueing networks, 2006

Cheong Foong Soon

Hedging Strategy and Effect of Transaction Costs for American Options in an Incomplete Market, Singapore-MIT-Alliance, 2002

Constantine Caramanis

Bounds on linear partial differential equations via semidefinite optimization, 2001

A discrete optimization approach to classification, Singapore-MIT-Alliance, 2001

Pricing in a competitive environment: a learning approach, 2000

Constantine Tsiligakis

Portfolio construction through mixed integer programming, 1999

Supply chain management: an approximate dynamic programming approach, 1998

Multiperiod portfolio optimization: Feynmann diagrams and approximate dynamic programming, 1998

Stochastic inventory and distribution problems, 1993