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Showing 1 - 25 of 63 Results

Dor

Berkeley School of Education

mathematical cognition, design-based research, mixed-media design for mathematics learning environments, embodied interaction

Ilan

Ilan Adler

Dept of Industrial Engineering & Operations Research

mathematical programming, computational game theory, applied probability

Maximilian

Maximilian Auffhammer

Dept of Agricultural & Resource Economics

Dept of International and Area Studies

climate change, social cost of carbon, econometrics, air pollution, environmental economics, energy economics

Haas School of Business

behavior economics, economic analysis, Online Markets, economics, strategy

Peter

Dept of Statistics

Division of Computer Science/EECS

machine learning, statistical learning theory, adaptive control

Stefano

Stefano M Bertozzi

Berkeley Public Health

HIV/AIDS, HIV prevention, HIV treatment programs, reproductive health, health economics, anti-poverty programs, impact evaluation

Carl

Dept of Environmental Science, Policy & Management

theoretical ecology, stochastic processes, optimal control, decision theory, ecoinformatics, data science, tipping points

Christian

Christian Borgs

Division of Computer Science/EECS

theoretical computer science, probability theory, combinatorics, complex networks., statistical physics, artificial intelligence

Sunica

Sunčica Čanić

Dept of Mathematics

applied mathematics, partial differential equations, computational methods, biomedical research

Yu-Ling

School of Social Welfare

Poverty and Inequality, Social Safety Net Programs, Unemployment and Labor Studies

Jennifer

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

Berkeley Public Health

public health, epidemiology, infectious diseases, biostatistics, meta-analysis

Peng

Peng Ding

Dept of Statistics

Statistical causal inference, missing data, Bayesian statistics, applied statistics

Sandrine

Sandrine Dudoit

Dept of Statistics

statistics, applied statistics, data science, statistical computing, computational biology and genomics

David

Dept of Mathematics

mathematics, algebraic geometry, commutative algebra, computation

Steven

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

Avi

Avi Feller

Dept of Statistics

Goldman School of Public Policy

applied statistics, theoretical statistics, Bayesian statistics, machine learning, statistics in social sciences

Will

Dept of Statistics

Theoretical and Applied Statistics

Vadim

Vadim Gorin

Dept of Mathematics

Dept of Statistics

integrable probability, random matrices, asymptotic representation theory

Bryan

Dept of Economics

econometrics, Social and Economic Networks, Peer Effects

Adityanand

Adityanand Guntuboyina

Dept of Statistics

nonparametric and high-dimensional statistics, shape constrained statistical estimation, empirical processes, statistical information theory

Stephen

Stephen Hinshaw

Dept of Psychology

psychology, child clinical, developmental psychopathology, risk factors for attentional, conduct disorders, child psychopharmacology, multimodality interventions, diagnostic validity of disorders, peer relationships, stigma of mental illness

Giles

Dept of Statistics

statistical computing, applications in the physical and environmental sciences, applications in biology and medicine, non-parametric inference, artificial intelligence, machine learning

Haiyan

Dept of Statistics

applied statistics, functional genomics, translational bioinformatics, high dimensional and integrative genomic/genetic data analysis, network modeling, hierarchical multi-lable classification

Alan

Berkeley Public Health

causal inference, targeted learning, statistical issues in epidemiology, precision medicine and public health