| Professor Name | Research Interest | Representative Publication | URL | | -------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------- | | Saurabh Amin | Networked control systems, cyber-physical infrastructure management, applied game theory, incentive regulation | "Analysis and Design of Vehicle Platooning Operations on Mixed-Traffic Highways" (2020) | [Lab URL](http://resil.mit.edu/) | | Hamsa Balakrishnan | Air traffic management, airport operations, environmental impacts of transportation systems | "Dynamic Control of Runway Configurations and Arrival and Departure Service Rates" (2017) | [Website](http://web.mit.edu/hamsa/www/) | | Arnold I. Barnett | Probability modeling, transportation systems, health risk analysis | "Applied Probability: Models and Intuition" (2015) | [Website](https://mitsloan.mit.edu/faculty/directory/arnold-i-barnett) | | Cynthia Barnhart | Large-scale optimization, transportation system design under uncertainty and competition | "Robust Optimization: Lessons Learned from Aircraft Routing" (2018) | [Website](https://cee.mit.edu/people_individual/cynthia-barnhart/) | | Dimitris Bertsimas | Optimization, robust optimization, health care analytics, machine learning | "From Predictive to Prescriptive Analytics" (2020) | [Website](http://web.mit.edu/dbertsim/www/) | | Victor Chernozhukov | Econometrics, high-dimensional models, machine learning | "Minimax Semiparametric Learning with Approximate Sparsity" (2019) | [Website](http://web.mit.edu/~vchern/www/) | | Robert Freund | Optimization issues in statistical and machine learning, data-driven optimization and decision-making, first-order methods for huge-scale problems, sparse optimization | "Relatively-Smooth Convex Optimization by First-Order Methods and Applications" (2018) | [Website](https://mitmgmtfaculty.mit.edu/rfreund/) | | Daniel Freund | Sharing economy, combinatorial optimization, analytics, operations management | "Analytics and Bikes: Riding Tandem with Motivate to Improve Mobility" (2019) | [Website](https://mitsloan.mit.edu/faculty/directory/daniel-freund) | | David Gamarnik | Applied probability, random graphs, statistical learning theory, queueing theory | "Neural Networks and Polynomial Regression: Demystifying the Overparametrization Phenomena" (2020) | [Website](http://www.mit.edu/~gamarnik/home.html) | | Stephen C. Graves | Supply chain modeling and optimization, online retailing, production and capacity planning | "Item Aggregation and Column Generation for Online-Retail Inventory Placement" | [Website](https://mitsloan.mit.edu/faculty/directory/stephen-c-graves) | | Alexandre Jacquillat | Stochastic optimization, large-scale transportation systems, air traffic management | "Dynamic Control of Runway Configurations and Arrival and Departure Service Rates" (2017) | [Website](https://mitsloan.mit.edu/faculty/directory/alexandre-jacquillat) | | Stefanie Jegelka | Machine learning, combinatorial optimization, structured data, algorithmic modeling | "Determinantal Point Processes for Machine Learning" | [Website](https://people.csail.mit.edu/stefje/) | | Retsef Levi | Optimization in health care, supply chains, risk management | "Optimizing Regional Health Care Facility Locations" | [Website](https://mitsloan.mit.edu/faculty/directory/retsef-levi) | | Rahul Mazumder | High-dimensional statistics, computational methods for large-scale optimization | "Statistical Learning with Convex Optimization" | [Website](https://mitsloan.mit.edu/faculty/directory/rahul-mazumder) | | Carolina Osorio | Urban mobility modeling, simulation-based optimization | "Simulation-Based Optimization for Urban Transportation Problems" | [Website](https://cee.mit.edu/people_individual/carolina-osorio/) | | Georgia Perakis | Pricing and revenue management, health care analytics, supply chain optimization | "Data-Driven Pricing and Inventory Policies" | [Website](https://mitsloan.mit.edu/faculty/directory/georgia-perakis) | | Devavrat Shah | Network algorithms, learning theory, stochastic processes | "Learning Through Discrete Distributions: Applications to Market Design" | [Website](https://lids.mit.edu/people/devavrat-shah) | | David Simchi-Levi | Supply chain and logistics, data-driven business analytics | "Data-Driven Approaches for Retail Supply Chains" | [Website](https://mitsloan.mit.edu/faculty/directory/david-simchi-levi) | | David Sontag | Machine learning for health care, probabilistic graphical models | "Probabilistic Models for Disease Progression" | [Website](https://csail.mit.edu/person/david-sontag) | | Nikos Trichakis | Fairness in decision-making, optimization applications | "Robust Models for Decision Making Under Uncertainty" | [Website](https://mitsloan.mit.edu/faculty/directory/nikos-trichakis) | | Bart P.G. Van Parys | Robust optimization, stochastic decision-making | "Dynamic Optimization for Renewable Energy Systems" | [Website](https://www.mit.edu/~vanparys/) | | Juan Pablo Vielma | Mixed-integer programming, optimization modeling, and applications | "New Frontiers in Mixed-Integer Programming" | [Website](https://mitsloan.mit.edu/faculty/directory/juan-pablo-vielma) | | Guy Bresler | Learning theory, high-dimensional probability, graphical models | "Sample-Optimal Algorithms for Learning Ising Models" | [Website](https://ee.mit.edu/people/guy-bresler/) | | Vivek F. Farias | Dynamic programming, data-driven optimization, revenue management | "Revenue Optimization in the Age of Big Data" | [Website](https://mitsloan.mit.edu/faculty/directory/vivek-farias) | | John Tsitsiklis | Optimization, machine learning, dynamic programming, stochastic systems | "Convergence of Asynchronous Stochastic Approximation and Q-Learning Algorithms" | [Website](https://lids.mit.edu/people/john-tsitsiklis) |