World's Best Scientists 2026 revealed!
Dimitris Bertsimas

Dimitris Bertsimas

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Engineering and Technology
USA
2026
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Mathematics
USA
2026

D-Index & Metrics

Mathematics

D-Index
105
Citations
51681
World Ranking
34
National Ranking
24

Engineering and Technology

D-Index
106
Citations
53297
World Ranking
104
National Ranking
42

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in United States Leader Award
  • 2026 - Research.com Mathematics in United States Leader Award
  • 2025 - Research.com Engineering and Technology in United States Leader Award
  • 2025 - Research.com Mathematics in United States Leader Award
  • 2019 - INFORMS John von Neumann Theory Prize
  • 2007 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)
  • 2005 - Member of the National Academy of Engineering For contributions to optimization theory and stochastic systems and innovative applications in financial engineering and transportation.

Overview

Dimitris Bertsimas is affiliated with MIT in the United States and has a significant body of research spanning medicine and computer science. Their work primarily focuses on the intersection of artificial intelligence, machine learning, and operations research, with applications notably in healthcare.

The scientist's main fields of study include:

  • Medicine
  • Computer Science

Key subfields of study encompass:

  • Artificial Intelligence
  • Management Science and Operations Research
  • Statistics and Probability
  • Cardiology and Cardiovascular Medicine
  • Computational Mechanics

Main topics of research include:

  • Sparse and Compressive Sensing Techniques
  • Risk and Portfolio Optimization
  • Statistical Methods and Inference
  • Machine Learning in Healthcare
  • Artificial Intelligence in Healthcare and Education
  • COVID-19 epidemiological studies
  • Cardiac, Anesthesia and Surgical Outcomes

Bertsimas has collaborated frequently with several researchers, including:

  • Michael Lingzhi Li
  • Jean Pauphilet
  • Agni Orfanoudaki
  • Ryan Cory-Wright
  • Holly Wiberg

The scientist has published extensively in prominent venues such as:

  • arXiv (Cornell University)
  • Machine Learning
  • Operations Research
  • bioRxiv (Cold Spring Harbor Laboratory)
  • INFORMS Journal on Computing

Recent publications include:

  • Integrated multimodal artificial intelligence framework for healthcare applications, 2022, npj Digital Medicine
  • COVID-19 mortality risk assessment: An international multi-center study, 2020, PLoS ONE
  • Machine Learning in Oncology: Methods, Applications, and Challenges, 2020, JCO Clinical Cancer Informatics
  • Machine learning and natural language processing methods to identify ischemic stroke, acuity and location from radiology reports, 2020, PLoS ONE
  • Interpretable clustering: an optimization approach, 2020, Machine Learning

Bertsimas has been recognized with several awards, including the INFORMS John von Neumann Theory Prize in 2019, election as a Fellow of the Institute for Operations Research and the Management Sciences (INFORMS) in 2007, and membership in the National Academy of Engineering in 2005 for contributions to optimization theory, stochastic systems, and applications in financial engineering and transportation.

Best Publications

  • The Price of Robustness

    Dimitris Bertsimas;Melvyn Sim

  • Introduction to linear optimization

    Dimitris Bertsimas;John Tsitsiklis

  • Theory and Applications of Robust Optimization

    Dimitris J. Bertsimas;David B. Brown;Constantine Caramanis

  • Robust discrete optimization and network flows

    Dimitris Bertsimas;Melvyn Sim

  • Adaptive Robust Optimization for the Security Constrained Unit Commitment Problem

    D. Bertsimas;E. Litvinov;Xu Andy Sun;Jinye Zhao

  • Optimal control of execution costs

    Dimitris Bertsimas;Andrew W. Lo

  • A Robust Optimization Approach to Inventory Theory

    Dimitris Bertsimas;Aurlie Thiele

  • The Air Traffic Flow Management Problem with Enroute Capacities

    Dimitris Bertsimas;Sarah Stock Patterson

  • Best subset selection via a modern optimization lens

    Dimitris J Bertsimas;Angela King;Rahul Mazumder

  • Optimal classification trees

    Dimitris Bertsimas;Jack William Dunn

  • A stochastic and dynamic vehicle routing problem in the Euclidean plane

    Dimitris Bertsimas;Garrett. Van Ryzin

  • Data-driven robust optimization

    Dimitris Bertsimas;Vishal Gupta;Nathan Kallus

  • The Price of Fairness

    Dimitris Bertsimas;Vivek F. Farias;Nikolaos Trichakis

  • Robust linear optimization under general norms

    Dimitris Bertsimas;Dessislava Pachamanova;Melvyn Sim

  • Optimal Inequalities in Probability Theory: A Convex Optimization Approach

    Dimitris Bertsimas;Ioana Popescu

  • A vehicle routing problem with stochastic demand

    Dimitris J. Bertsimas

  • Optimization Over Integers

    Dimitris Bertsimas;Robert Weismantel

  • A New Generation of Vehicle Routing Research: Robust Algorithms, Addressing Uncertainty

    Dimitris J. Bertsimas;David Simchi-Levi

  • Constructing Uncertainty Sets for Robust Linear Optimization

    Dimitris Bertsimas;David B. Brown

  • Tractable Approximations to Robust Conic Optimization Problems

    Dimitris Bertsimas;Melvyn Sim

  • The Multi-Airport Ground-Holding Problem in Air Traffic Control

    Peter B. M. Vranas;Dimitris J. Bertsimas;Amedeo R. Odoni

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