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Students
Learn more about Professor Bertsimas' current and past students.
Student
News
Elijah Pivo
May 1, 2026
Warm congratulations to my 109th PhD student, Eli Pivo, on the successful defense of his thesis, “A Holistic Approach for the Simulation, Evaluation, and Design of Organ Transplantation Policies in the U.S.” Eli has developed a unified simulator for organ transplantation outcomes across all major organs (kidney, liver, heart, lungs, and pancreas). The system runs in a matter of seconds and enables near real-time simulation and design of transplantation policies. Eli will continue his efforts at MIT, and I very much look forward to working together.
Matthew Peroni
April 27, 2026
Congratulations to my 108th PhD student, Matthew Peroni, who successfully defended his thesis entitled "Adaptive Machine Learning." Matthew is continuing his career at IBM. I wish you the very best, Matthew!
George Margaritis
April 24, 2026
Congratulations to my 107th PhD student, George Margaritis, on the successful defense of his thesis, “Holistic AI for Medicine, Explainability and Optimization.” George will be continuing his career at Meta. Wishing you all the best, George!
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Current
Students
Cindy Wang
Expected completion
2027
Jiayi Gu
Expected completion
2027
Lisa Everest
Expected completion
2027
Maura Suzanne Hegarty
Expected completion
2027
Vassilina Stoumpou
Expected completion
2027
Catherine Ning
Expected completion
2028
Karl Zhu
Expected completion
2028
Yubing Cui
Expected completion
2028
Carol Gao
Expected completion
2029
Dewang Kumar Agarwal
Expected completion
2029
Romain Puech
Expected completion
2029
Josephine Situ
Expected completion
2030
Julia Kim
Expected completion
2030
Lara Pontes
Expected completion
2030
Rohan Kumar
Expected completion
2030
Seehanah Tang
Expected completion
2030
Graduated PhD
Students
Joel Tay
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)
Alex Weinstein
From Data to Decisions in Healthcare: An Optimization Perspective, 2017
Jerry Kung
An Analytics Approach to Problems in Health Care, 2017
Nikita Korolko
A Robust Optimization Approach to Online Problems, 2017
Iain Dunning
Advances in Robust and Adaptive Optimization: Algorithms, Software, and Insights, 2016 (best paper award among ORC students in 2016)
Velibor Misic
Data, Models and Decisions in Large-Scale Stochastic Optimization Problems, 2016
Angie King
Regression under a modern optimization lens, 2015
John Silberholz
Analytics for Improved Cancer Screening and Treatment, (winner of the William Pierskalla award in 2013 for best paper in Health care), 2015
Nataly Youssef
Stochastic Analysis via Robust Optimization, (best paper award among ORC students in 2012, finalist in the Nicholson competition in 2012), 2015
Nathan Kallus
From data to decisions through new interfaces between optimization and statistics (best paper award among ORC students in 2013, finalist in the Nicholson competition in 2013), 2015
Vishal Gupta
Data-driven models for uncertainty and behavior (best paper award among ORC students in 2013, finalist in the Nicholson competition in 2013), 2014
Allison O'Hair
Personalized diabetes management, 2013 (winner of the William Pierskalla award in 2013 for best paper in Health care)
Chaithanya Bandi
Tractable stochastic analysis in high dimensions: a robust optimization approach, 2013 (best paper award among ORC students in 2012, finalist in the Nicholson competition in 2012)
Matthew Fontana
Optimal routes for electric vehicles facing uncertainty, congestion and energy constraints, 2013
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Graduated Postdoctoral
Students
Michael Li
2022-2023
Bartolomeo Stellato
2018-2020
Bart Van Parys
2016-2018
Shimrit Shtern
2015-2018
John Silberholrz
2015-2017
Nathan Kallus
2015-2016
Hoda Bidkhori
2012-2015
Phebe Vayanos
2012-2015
Angelos Georghiou
2012-2013
Ebrahim Nasrabadi
2010-2013
Rahul Mazumder
2012-2013
Christopher Maes
2009-2011
Vineet Goyal
2008-2010
Omid Nohadani
2006-2009
Eugene Perevalov
1999-2001
Graduated Masters
Students
Thai Dung Nguyen
Application of robust and inverse optimization in transportation, 2010
Van Vinh Nguyen
Fairness and optimality in trading, 2010
Si Chen
Robust option pricing - an epsilon arbitrage approach, 2009
Clay Noyes
Optimizing the operations of the emergency department at the Beth Israel Hospital via simulation, 2008
Yanbo Wang
Robust optimization applications, 2008
Yun Lu
A robust optimization approach to network equilibrium, 2007
Premal Shah
Optimal bounds for American options, 2006
Su Hua
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
Zhang Yi
A discrete optimization approach to classification, Singapore-MIT-Alliance, 2001
Mark Coumeri
Pricing in a competitive environment: a learning approach, 2000
Constantine Tsiligakis
Portfolio construction through mixed integer programming, 1999
Ed Wike
Supply chain management: an approximate dynamic programming approach, 1998
Elaine Chew
Multiperiod portfolio optimization: Feynmann diagrams and approximate dynamic programming, 1998
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