Students

Learn more about Professor Bertsimas' current and past students.

Student News

100th PhD Student

Today we celebrate the graduation of my 100th doctoral student with some of my current and prior PhD students. If somebody told me that after 37 years as an MIT faculty I would have graduated 100 PhD students, I would have found it unbelievable!

Warm congratulations to my 100th doctoral student, Alex Paskov, who successfully defended his thesis today. Alex has made significant progress in using AI and optimization on solving clustering, optimal trees, wordle, and poker!

Warm congratulations to my 99th doctoral student, Yu Ma, who has defended her doctoral thesis today. Yu has done exceptional work in AI and healthcare and is continuing her career as an assistant professor at the business school of University of Wisconsin-Madison.

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

Global and Robust Optimization for Engineering Design, 2022

Driss Lahlou Kitane

Sparsity and Machine Learning, Theory and Applications, 2022

Data-driven Healthcare via Constraint Learning and Analytics, 2022

Stable Machine Learning, 2022

Algorithms for Large-scale Data Analytics and Applications to the COVID-19 Pandemic, 2022 (Finalist Edelman competition, 2022)

Ryan Cory-Wright

Integer and Matrix Optimization: A Nonlinear Approach, 2022 (1st Prize in Nicholson competition of INFORMS, 2020, best paper award among ORC students in 2020, 1st prize in student paper for INFORMS Computer Science Section, 2019

Ted Papalexopoulos

Multi-Objective Optimization for Public Policy, 2022

Agni Orfanoudaki

Novel Machine Learning Algorithms for Personalized Medicine and Insurance, 2021

Optimizing School Operations, 2021 (best paper award among ORC students in 2018)

Improving Efficiency and Fairness in Machine Learning: a Discrete Optimization Approach, 2021

Matthew Sobiesk

Machine Learning Algorithms and Applications in Health Care, 2021

Essays on Decision Making Under Uncertainty, 2021

Dynamic Optimization in the Age of Big Data, 2020 (2nd prize in Nicholson competition of INFORMS, 2017, best paper award among ORC students in 2019)

Algorithmic advancements in discrete optimization Applications to machine learning and healthcare operations, 2020 (1st Prize in Nicholson competition of INFORMS, 2020, best paper award among ORC students in 2020, 1st prize in student paper for INFORMS Computer Science Section, 2019, Honorable mention George Dantzig dissertation award 2020)

From Data to Decisions in Urban Transit and Logistics, 2020

Graduated Postdoctoral Students

Bartolomeo Stellato

John Silberholrz

Angelos Georghiou

Ebrahim Nasrabadi

Christopher Maes

Eugene Perevalov

Graduated Masters Students

Stochastic inventory and distribution problems, 1993

Ioannis Paschalidis

Bounds for multiclass queueing networks, 1992

Optimal cash allocation in bank branches, 1991

Algorithms for the 0-1 integer programming problem, 1991

A computational approach to probabilistic routing problems, 1989