Satish Rao Division of Computer Science (EECS) combinatorial optimization, design and analysis of algorithms
Umesh Vazirani Division of Computer Science (EECS) quantum computation, hamiltonian complexity, analysis of algorithms, computer security
Olga Holtz Dept of Mathematics numerical analysis, matrix and operator theory, approximation theory, wavelets and splines, orthogonal polynomials and special functions, analysis of algorithms and computational complexity
Jelani Nelson Division of Computer Science (EECS) theory, algorithms, streaming algorithms, dimensionality reduction, randomized algorithms, machine learning, privacy
Kirk Bansak Dept of Political Science causal inference, experimental design and analysis, algorithmic decision-making, refugee resettlement and asylum politics, public opinion, survey methodology
Heather Gray Dept of Physics particle physics, machine learning, algorithms, quantum algorithms, general purpose computation on the GPU (GPGPU)
Prasad Raghavendra Division of Computer Science (EECS) theory(THY), optimization, complexity theory, approximation algorithms
Rajan Udwani Dept of Industrial Engineering & Operations Research algorithms, optimization under uncertainty, Revenue Management, pricing, online platforms
John Wright Division of Computer Science (EECS) quantum state learning, quantum complexity theory, property testing, approximation algorithms
Martin P. Head-Gordon Dept of Chemistry theoretical chemistry, electronic structure calculations, development of novel theories and algorithms, quantum mechanics
Amanda Coston Dept of Statistics causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness
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
Filip C. Filippou Dept of Civil and Environmental Engineering nonlinear analysis of structures, finite element analysis, seismic response simulation, seismic evaluation of structures by computer analysis
Franziska Weber Dept of Mathematics applied mathematics, mathematical analysis, numerical analysis, nonlinear partial differential equations
Robert M. Anderson Dept of Economics finance, probability theory, mathematical economics, nonstandard analysis
Huiwen Jia Dept of Industrial Engineering & Operations Research stochastic and robust optimization, machine learning, online learning algorithms, transportation, Revenue Management, service system design
Lexin Li School of Public Health neuroimaging data analysis, deep brain stimulation, brain-computer-interface, statistical machine learning, Deep Learning, reinforcement learning, networks data analysis, functional data analysis, tensor analysis, ordinary differential equations, dimension reduction, high dimensional inference
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
Stuart J. Russell Division of Computer Science (EECS) artificial intelligence, computational biology, algorithms, machine learning, real-time decision-making, probabilistic reasoning
Michael J. Lindsey Dept of Mathematics applied mathematics, mathematical analysis, probability, numerical analysis, optimization, Monte Carlo methods
Satish Rao
