Students

Learn more about Professor Bertsimas' current and past students.

Student News

Yubing Cui, Lisa Everest, Karl Zhu, Catherine Ning, Emily Hahn, Jiayi Gu, and Kimberly Villalobos Carballo

January 28, 2025

Very proud of my Holistic AI in Medicine team!

My doctoral student Cynthia graduated today. Cynthia has done pioneering work on multimodal machine learning for the climate. Very proud of her! Starting in September she will be an assistant professor in New York university Abudhabi.

Kimberly Villalobos Carballo

Kim defended her doctoral thesis today. She is going to New York university as an assistant professor. Congratulations Kim! very proud of you!

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

Demetrios C. Kriezis

Global Non-Convex Optimization with Integer Variables, 2025.

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