Jitendra Malik Division of Computer Science (EECS) computer science, electrical engineering, vision science, computer vision, robotics
Michael Jordan Dept of Statistics Division of Computer Science (EECS) computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization
Joseph M. Hellerstein Division of Computer Science (EECS) computer science, database systems, distributed systems
Jennifer Chayes Dept of Mathematics Dept of Statistics Division of Computer Science (EECS) phase transitions in computer science, structural and dynamical properties of networks, graphons, machine learning, ethical decision making, climate change
John F. Canny Division of Computer Science (EECS) computer science, activity-based computing, livenotes, mechatronic devices, flexonics
Venkatesan Guruswami Dept of Mathematics Division of Computer Science (EECS) theoretical computer science, coding theory, approximate optimization, randomness in computation, computational complexity
Umesh Vazirani Division of Computer Science (EECS) quantum computation, hamiltonian complexity, analysis of algorithms, computer security
Sanjam Garg Division of Computer Science (EECS) cryptography, cybersecurity, theoretical computer science
James Demmel Dept of Mathematics Division of Computer Science (EECS) computer science, scientific computing, numerical analysis, linear algebra
Brian A. Barsky Division of Computer Science (EECS) School of Optometry computer science, geometric design and modeling, computer graphics, computer aided cornea modeling and visualization, medical imaging, virtual environments for surgical simulation
Nika Haghtalab Division of Computer Science (EECS) artificial intelligence, machine learning, theoretical computer science, game theory and mechanism design
Christian Borgs Division of Computer Science (EECS) theoretical computer science, probability theory, combinatorics, complex networks, statistical physics, artificial intelligence, applications of artificial intelligence and machine learning in engineering and sciences
Koushik Sen Division of Computer Science (EECS) computer science, programming systems, software engineering, programming languages, computational logic, software testing, verification, model checking, runtime monitoring, performance evaluation
Scott Shenker Division of Computer Science (EECS) computer science, internet architecture, software-defined networking, network function virtualization, game theoretic approaches to resource allocation, large-scale distributed systems, edge computing
Sarah Chasins Division of Computer Science (EECS) programming systems, human-computer interaction, programming languages, programming languages and compilers, program synthesis, data science
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
Aditya Parameswaran Division of Computer Science (EECS) School of Information database management systems, human-computer interaction, data science, information visualization
Daryl C. Chrzan Dept of Materials Science and Engineering materials science and engineering, computational materials science, metals and metallic compounds, defects in solids, growth of nanostructures
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
Shafi Goldwasser Division of Computer Science (EECS) cryptography, computational number theory, complexity theory, fault tolerant distributed computing, probabilistic proof systems, approximation algorithms, theory(THY)
Alexei Efros Division of Computer Science (EECS) computer vision, computer graphics, computational photography, machine learning, artificial intelligence
David Holtz Haas School of Business online marketplaces and platforms, computational social science, data science, experimental economics
Michelle Wilkerson School of Education K-12 math and science education, science education, mathematics education, computing education, design-based research, computers in K-12 education, data literacy, data science education