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Research Expertise and Interest

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Department

Burgmann teaching EPS116 field trip at Moss Beach

active tectonics, geophysics, geology, earth and planetary science, geomechanics, tectonics, Seismology, structural geology, fault zone processes, crustal deformation, space geodesy, natural hazards, landslides

Hans-Rudolf Wenk

Dept of Earth and Planetary Science

crystallography, earth & planetary science, structural geology & rock deformation, seismic anisotropy

John W. Morris, Jr

Dept of Materials Science and Engineering

structural materials, computational materials, the limits of strength, deformation mechanisms, non-destructive testing with SQUID microscopy, mechanisms of grain refinement in high strength steels, lead-free solders for microelectronics

Valerie Zhang

Haas School of Business

information dissemination, information cascades on social media, retail investor behavior, decentralized finance

Erin Hartman

Dept of Political Science

causal inference, survey data analysis

Terrence Hendershott

Haas School of Business

management of information systems, role of information technology in financial markets, after-hours stock trading, electronic communications networks (ECNs), electronic markets

Yasunori Nomura

Dept of Physics

quantum gravity, cosmology, Theoretical Particle Physics, quantum information

Pamela Samuelson

School of Law

public policy, intellectual property law, new information technologies, traditional legal regimes, information management, copyright, software protection and cyberlaw, AI govenance

Thomas Courtade

Division of Electrical Engineering (EECS)

information theory, probability, data compression, communications, computer science

Olivia Natan

Haas School of Business

product variety, platform markets, information frictions, consumer search

Ali Kakhbod

Haas School of Business

financial economics, big data, machine learning, information frictions

Maya L. Petersen

School of Public Health

Computational Precision Health Program

causal inference, precision health, targeted learning, HIV, global health, pandemics

Steven Weber

Dept of Political Science

School of Information

political science, international security, international political economy, information science

Paul Schwartz

School of Law

privacy, information privacy law, data protection law, law and technology

Deirdre Mulligan

School of Information

information policy, law, privacy, security, machine learning and artificial intelligence

John Chuang

Division of Electrical Engineering (EECS)

School of Information

climate informatics, biosensory computing, brainwave authentication, information economics and policy

Sam Pimentel

Dept of Statistics

causal inference, health services & policy analysis, biostatistics, discrete optimization

Aditya Parameswaran

Division of Computer Science (EECS)

School of Information

database management systems, human-computer interaction, data science, information visualization

Anastassia Fedyk

Haas School of Business

finance, behavioral economics, labor and finance, role of information technology in financial markets

Jingshen Wang

School of Public Health

precision medicine, causal inference, adaptive experiment, machine learning and artificial intelligence

Amanda Coston

Dept of Statistics

causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness

Peng Ding

Dept of Statistics

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

Eugene Chiang

Dept of Astronomy

Dept of Earth and Planetary Science

planetary science, theoretical astrophysics, dynamics, planet formation, circumstellar disks

Mark Stacey

Dept of Civil and Environmental Engineering

coastal climate change and adaptation, interaction between environmental processes and built infrastructure and social systems, local/regional interdependence

Orin Kerr

School of Law

criminal procedure, computer crime law, surveillance technologies, fourth amendment, information privacy law

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