Jason Lee Dept of Statistics Division of Computer Science (EECS) machine learning theory, optimization, statistics, deep learning
Huiwen Jia Dept of Industrial Engineering & Operations Research stochastic and robust optimization, machine learning, online learning algorithms, transportation, revenue management, service system design
Ying Cui Dept of Industrial Engineering & Operations Research continuous optimization, optimization under uncertainty, statistical estimations, machine learning, artificial intelligence
Rajan Udwani Dept of Industrial Engineering & Operations Research algorithms, optimization under uncertainty, revenue management, pricing, online platforms
Thibaut Mastrolia Dept of Industrial Engineering & Operations Research stochastic control, game theory, finance, optimization
Paul Grigas Dept of Industrial Engineering & Operations Research optimization, machine learning, data-driven decision-making
Carl Boettiger Dept of Environmental Science, Policy & Management theoretical ecology, stochastic processes, optimal control, decision theory, ecoinformatics, data science, tipping points
Alper Atamturk Dept of Industrial Engineering & Operations Research sparse learning, integer programming, computational optimization, robust optimization, logistics
Philip Marcus Dept of Mechanical Engineering algorithms, fluid mechanics, nonlinear dynamics, atmospheric flows, convection, ocean flows, numerical analysis, wind energy, Bayesian optimization, neural networks, turbulence, planet formation, internal gravity waves, inertial waves, desalination, protoplanetary disks
Anca Dragan Division of Computer Science (EECS) robotics, human-robot interaction, human-compatible artificial intelligence
Jason Lee
