Dimitris J. Bertsimas
Past Awards
2024
Data Mining Best Applied Paper:
Winner(s)
Winning material:
M3H: Multimodal Multitask Machine Learning for Healthcare
2023
M&SOM Practice-based Research Competition :
Finalist
Winning material:
Decarbonizing OCP
Pierskalla Best Paper Award:
Runner-Up
Winning material:
Reshaping National Organ Allocation Policy
2021
Innovative Applications in Analytics Award:
Winner(s)
Winning material:
Data-driven COVID-19 Vaccine Development for Janssen
Frederick W. Lanchester Prize:
Winner(s)
Citation:
This prize is awarded for the best contribution to operations research and the management sciences published in English in the past
This prize is awarded for the best contribution to operations research and the management sciences published in English in the past five years. Learn more about the Lanchester Prize and how to be nominated on the INFORMS website.
The 2021 Lanchester Prize is awarded to:
"Machine Learning under a Modern Optimization Lens"
2020
Pierskalla Best Paper Award:
Winner(s)
Winning material:
From predictions to prescriptions: A data-driven response to COVID-19
2019
John von Neumann Theory Prize:
Winner(s)
INFORMS President's Award:
Winner(s)
Student Paper Award:
Finalist
Winning material:
The Price of Interpretability: Optimal Explanations of Linear Models
2013
Philip McCord Morse Lectureship Award:
Winner(s)
Citation:
Statistics and Machine Learning via a Modern Optimization Lens
Download the paper here.
Pierskalla Best Paper Award:
Winner(s)
Winning material:
An Analytics Approach to Designing Clinical Trials for Cancer
Best Paper Award:
First Place
Winning material:
An Integer Optimization Approach to Large-Scale Air Traffic Flow Management
2008
Optimization Society Farkas Prize:
Awardee(s)
Dimitris Bertsimas (2008 Farkas Prize awardee, left) and Andrew Conn.
2007
INFORMS Elected Fellows:
Awardee(s)
1996
Erlang Prize:
Winner(s)
1989
George Nicholson Student Paper Competition:
First Place
Winning material:
"A Priori Optimization"
1988
TSL Dissertation Prize:
Awardee(s)
Winning material:
Probabilistic Combinatorial Optimization Problems