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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George Margaritis

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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

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

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

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