Thibaut Mastrolia Dept of Industrial Engineering & Operations Research stochastic control, game theory, finance, optimization
Ali Mesbah Dept of Chemical & Biomolecular Engineering Model predictive control; Learning-based control; Low-temperature plasma processing; Machine learning and control for plasmas; Semiconductor manufacturing
Nicholas J. Mills Dept of Environmental Science, Policy & Management environmental science, pest management, biological control of insect pests, ecology of insect parasitism, natural enemy biology, Epiphyas postvittana, Chromaphis juglandicola, Tetranychus species
Scott Moura Dept of Civil and Environmental Engineering control systems, optimization, data science, batteries, electric vehicles, energy systems
Shmuel S. Oren Dept of Industrial Engineering & Operations Research economics, algorithms, financial engineering, risk management, planning, optimization, operation of electric power systems, market based coordination of network systems, trading instruments
Sam Pimentel Dept of Statistics causal inference, health services & policy analysis, biostatistics, discrete optimization
Prasad Raghavendra Division of Computer Science/EECS theory(THY), optimization, complexity theory, approximation algorithms
Satish Rao Division of Computer Science/EECS combinatorial optimization, design and analysis of algorithms
Rhonda Righter Dept of Industrial Engineering & Operations Research modeling, optimization, stochastic systems, systems with uncertainty, service operations, scheduling and load balancing, telecommunications, computer and internet communications
James A. Sethian Dept of Mathematics mathematics, applied mathematics, partial differential equations, computational physics, level set Methods, computational fluid mechanics and materials sciences. fast marching methods
Daniel Siefman Dept of Nuclear Engineering neutronics, criticality safety, nuclear data validation, machine learning, neutron noise, reactor dosimetry
Alistair Sinclair Dept of Statistics Division of Electrical Engineering/EECS algorithms, applied probability, statistics, random walks, Markov chains, computational applications of randomness, Markov chain Monte Carlo, statistical physics, combinatorial optimization
Vladimir Stojanovic Division of Electrical Engineering/EECS integrated circuits, silicon photonics, high-speed links, mixed-signal circuits, VLSI, emerging device technologies
Ryan Tibshirani Dept of Statistics statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning
Claire Tomlin Division of Computer Science/EECS Division of Electrical Engineering/EECS electrical engineering, computer sciences, control, biosystems, control theory, intelligent systems, and robotics, hybrid and embedded systems, biological cell networks
Rajan Udwani Dept of Industrial Engineering & Operations Research algorithms, optimization under uncertainty, Revenue Management, pricing, online platforms
Martin J. Wainwright Dept of Statistics Division of Computer Science/EECS statistical machine learning, statistics, Optimization and algorithmss., artificial intelligence
Katherine A. Yelick Division of Computer Science/EECS high performance computing, partitioned Global Address Space programming, communication-avoiding algorithms, automatic performance tuning, high performance data analytics, computational biology