Prasad Raghavendra Division of Computer Science (EECS) theory(THY), optimization, complexity theory, approximation algorithms
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
Jon Wilkening Dept of Mathematics applied mathematics, numerical analysis, computational solid and fluid mechanics
Rajan Udwani Dept of Industrial Engineering & Operations Research algorithms, optimization under uncertainty, revenue management, pricing, online platforms
Jelani Nelson Division of Computer Science (EECS) theory, algorithms, streaming algorithms, dimensionality reduction, randomized algorithms, machine learning, privacy
John Wright Division of Computer Science (EECS) quantum state learning, quantum complexity theory, property testing, approximation algorithms
James Demmel Dept of Mathematics Division of Computer Science (EECS) computer science, scientific computing, numerical analysis, linear algebra
Jason Lee Dept of Statistics Division of Computer Science (EECS) machine learning theory, optimization, statistics, deep learning
Nikita Zhivotovskiy Dept of Statistics mathematical statistics, applied probability, statistical learning theory
Alvin Cheung Division of Computer Science (EECS) program analysis, program synthesis, database application performance, big systems, big data, database management, database management systems, database design and construction, programming languages and compilers, programming languages
Shafi Goldwasser Division of Computer Science (EECS) cryptography, computational number theory, complexity theory, fault tolerant distributed computing, probabilistic proof systems, approximation algorithms, theory(THY)
William A. Lester, Jr. Dept of Chemistry theoretical and physical chemistry, advances in basic theory, computational methods, study of molecular electronic structure, quantum Monte Carlo method, Born-Oppenheimer approximation
Dorit Hochbaum Dept of Industrial Engineering & Operations Research data mining, integer programming, discrete optimization, network flow techniques, clustering, image segmentation, machine vision, pattern recognition
Prasad Raghavendra
Prasad Raghavendra
Prasad Raghavendra
