Find UC Berkeley Faculty

Research Expertise and Interest

Use quotes to search for an exact phrase. Example: "computational biology"

Name

Department

Sophia Rabe-Hesketh

Sophia Rabe-Hesketh

School of Education

biostatistics, educational statistics, latent variable models, missing data methods, multilevel models, generalized linear latent and mixed models, hierarchical models, longitudinal data, Item response models, structural equation models

Laura D'Andrea Tyson

Laura D'Andrea Tyson

Dept of Economics

Haas School of Business

high-technology competition, US industrial and technology policies, international economy, US trade policy, US competitiveness, emerging market economies, multinational companies in the US economy, gender gap (economic participation, educational attainment, political empowerment and health), research and development tax credit

Dept of Industrial Engineering & Operations Research

sparse learning, integer programming, computational optimization, robust optimization, logistics

Dept of Materials Science and Engineering

energy storage, computational modeling, machine learning, autonomous laboratories

Dept of Industrial Engineering & Operations Research

data mining, integer programming, discrete optimization, network flow techniques, clustering, image segmentation, machine vision, pattern recognition

Ken Goldberg in front of a projection of robotic arm

Dept of Industrial Engineering & Operations Research

robotics, art, social media, new media, automation

Dept of Political Science

American political institutions, bureaucratic organizations, executive branch, public administration, political economy, statistical modeling

Lee Fleming

Dept of Industrial Engineering & Operations Research

commercializing breakthroughs, invention, innovation, patents, big data, ethics and technology, leadership

Thibaut Mastrolia

Thibaut Mastrolia

Dept of Industrial Engineering & Operations Research

stochastic control, game theory, finance, optimization

Xin Guo

Dept of Industrial Engineering & Operations Research

stochastic control and games, theory of machine learning and applications to medical and financial data analysis, applied probability and stochastic models

Chiwei Yan

Dept of Industrial Engineering & Operations Research

transportation and logistics systems, online platforms

Steven N. Evans

Dept of Mathematics

Dept of Statistics

large random combinatorial structures, random matrices, superprocesses & other measure-valued processes, probability on algebraic structures -particularly local fields, applications of stochastic processes to biodemography, mathematical finance, population genetics, phylogenetics & historical linguistics

Paul Grigas

Dept of Industrial Engineering & Operations Research

optimization, machine learning, data-driven decision-making

Dept of Industrial Engineering & Operations Research

control theory, optimization, power systems

Huiwen Jia

Dept of Industrial Engineering & Operations Research

stochastic and robust optimization, machine learning, online learning algorithms, transportation, Revenue Management, service system design

Dept of Industrial Engineering & Operations Research

algorithms, optimization under uncertainty, Revenue Management, pricing, online platforms

Ali Javey sitting in lab with equipment in background

Ali Javey

Division of Electrical Engineering (EECS)

nanotechnology, low power electronics, flexible electronics and sensors, nanofabrication, energy harvesting and conversion, programmable matter

Christian H. Borgs

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

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

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

Jonah B. Gelbach

civil procedure, statutory interpretation, law and economics, event study methodology, securities litigation, economics of crime, public assistance, statistical methods

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

Ian Wang

Dept of Environmental Science, Policy & Management

genetics and genomics, genomics, landscape genetics, evolution, population genetics, conservation, herpetology, GIS, spatial analysis, statistical methods, epigenetics

Division of Computer Science (EECS)

unsupervised language acquisition, efficient algorithms for NLP, linguistically rich models of language, integrating symbolic and statistical methods for NLP, organization of the web, machine translation, information extraction

Kannan Ramchandran

Kannan Ramchandran

Division of Computer Science (EECS)

Division of Electrical Engineering (EECS)

statistical and sparse signal processing, adversarial and distributed machine learning, coded computing, privacy and security, scalable distributed video-on-demand delivery, coding theory, communications, information theory, peer-to-peer networking, blockchains