Students

Learn more about Professor Bertsimas' current and past students.

Student News

Warm congratulations to my doctoral student Holly Wiberg who successfully defended her PhD thesis. Congratulations Holly!

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

Interpretable Machine Learning Methods with Applications to Health Care, 2020

Data-Driven Dynamic Optimization with Auxiliary Covariates, 2019

Colin Pawlowski

Machine Learning for Problems with Missing and Uncertain Data with Applications to Personalized Medicine, 2019

Nishanth Mundru

Predictive and Prescriptive Methods in Operations Research and Machine Learning: An Optimization Approach, 2019

Sebastien Martin

The Edge of Large-Scale Optimization in Transportation and Machine Learning, 2019 (best paper award among ORC students in 2018, George Dantzig dissertation award 2019, Transportation Thesis Prize, 2019)

Advances in Data-Driven Models for Transportation, 2019

Daisy Ying Zhuo

New Algorithms in Machine Learning with Applications in Personalized Medicine, 2018

Frans de Ruiter

Primal and dual approaches to adjustable robust optimization, 2018 (1st prize in Optimization for 2017 best student paper)

Optimal Trees for Prediction and Prescription, 2018 (best paper award among ORC students in 2016)

Integrated Robust and Adaptive Methods in the Heating Oil Industry, 2018

Martin Copenhaver

Sparsity and robustness in modern statistical estimation, 2018 (best paper award among ORC students in 2015)

From Data to Decisions in Healthcare: An Optimization Perspective, 2017

An Analytics Approach to Problems in Health Care, 2017

A Robust Optimization Approach to Online Problems, 2017

Advances in Robust and Adaptive Optimization: Algorithms, Software, and Insights, 2016 (best paper award among ORC students in 2016)

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