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
Satish Rao Division of Computer Science (EECS) combinatorial optimization, design and analysis of algorithms
Prasad Raghavendra Division of Computer Science (EECS) theory(THY), optimization, complexity theory, approximation algorithms
Shafi Goldwasser Division of Computer Science (EECS) cryptography, computational number theory, complexity theory, fault tolerant distributed computing, probabilistic proof systems, approximation algorithms, theory(THY)
John Wright Division of Computer Science (EECS) quantum state learning, quantum complexity theory, property testing, approximation algorithms
Avishay Tal Division of Computer Science (EECS) theory(THY), complexity theory, analysis of Boolean functions, randomness in computation, quantum computation
Jelani Nelson Division of Computer Science (EECS) theory, algorithms, streaming algorithms, dimensionality reduction, randomized algorithms, machine learning, privacy
Heather Gray Dept of Physics particle physics, machine learning, algorithms, quantum algorithms, general purpose computation on the GPU (GPGPU)
Kirk Bansak Dept of Political Science causal inference, experimental design and analysis, algorithmic decision-making, refugee resettlement and asylum politics, public opinion, survey methodology
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
Ion Stoica Division of Computer Science (EECS) networking and distributed computer systems, quality of service (Q of S) and resources management, modeling and performance analysis
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
James Demmel Dept of Mathematics Division of Computer Science (EECS) computer science, scientific computing, numerical analysis, linear algebra
Venkatesan Guruswami Dept of Mathematics Division of Computer Science (EECS) theoretical computer science, coding theory, approximate optimization, randomness in computation, computational complexity
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
Rajan Udwani Dept of Industrial Engineering & Operations Research algorithms, optimization under uncertainty, Revenue Management, pricing, online platforms
K. Birgitta Whaley Dept of Chemistry quantum information and quantum computation, control and simulation of complex quantum systems, quantum effects in biological systems, quantum physics, quantum mechanics
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
Sung-Hou Kim Dept of Chemistry computational genomics, Genomic susceptibility of common diseases, Genomic Tree of Life, Demography of human genome diversity
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
Sayeef Salahuddin Division of Electrical Engineering (EECS) physical electronics, design and modeling and analysis, energy, scientific computing
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
Umesh Vazirani
