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

Thai Dung Nguyen

Application of robust and inverse optimization in transportation, 2010

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