Find UC Berkeley Faculty

Research Expertise and Interest

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

Name

Department

Moritz Hardt

Division of Computer Science (EECS)

machine learning, society, decision-making

Avishay Tal

Division of Computer Science (EECS)

theory(THY), complexity theory, analysis of Boolean functions, randomness in computation, quantum computation

Sandya Subramanian

Computational Precision Health Program

translational medicine

Nilah Ioannidis

Division of Computer Science (EECS)

computational biology, machine learning, artificial intelligence, genomics, personal genome interpretation, precision health, rare diseases, statistical genetics, molecular biology, biophysics

Emma Pierson

Division of Computer Science (EECS)

data science, machine learning, inequality, Healthcare

Prasad Raghavendra

Division of Computer Science (EECS)

theory(THY), optimization, complexity theory, approximation algorithms

Natacha Crooks

Division of Computer Science (EECS)

database management systems, operating systems & networking

Daniel Klein

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

Benjamin Recht

Division of Computer Science (EECS)

machine learning, data science, artificial intelligence

Max Willsey

Division of Computer Science (EECS)

programming optimization, programming languages

Adam Yala

Computational Precision Health Program

Dept of Statistics

Division of Computer Science (EECS)

artificial intelligence, health

Desiree Fields

Dept of Geography

economic geography, urban theory, financialization, digital platforms, property, geographical political economy, housing justice, digital capitalism

Aditi Krishnapriyan

Dept of Chemical & Biomolecular Engineering

Division of Computer Science (EECS)

machine learning, geometric deep learning, differentiable physics, dynamical systems, numerical methods, computational geometry, optimization

Alp Sipahigil

Dept of Physics

Division of Electrical Engineering (EECS)

solid-state devices and technology, quantum technologies

Pieter Abbeel

Division of Computer Science (EECS)

robotics, machine learning, artificial intelligence, Deep Learning

James A. Sethian

Dept of Mathematics

mathematics, applied mathematics, partial differential equations, computational physics, level set Methods, computational fluid mechanics and materials sciences, fast marching methods

Demian Pouzo

Dept of Economics

econometrics

Anders Näär

Dept of Nutritional Sciences & Toxicology

gene expression, microRNAs, Mammalian Cell Metabolism, Metabolic Diseases, obesity, Type 2 diabetes, NAFLD/NASH, cancer therapies

Alper Atamturk

Dept of Industrial Engineering & Operations Research

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

Michael (Miki) Lustig

Division of Computer Science (EECS)

Division of Electrical Engineering (EECS)

medical imaging, MRI, compressed sensing

Yun S. Song

Dept of Statistics

Division of Computer Science (EECS)

computational biology, machine learning, applied probability and statistics

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

Peter Bartlett

Dept of Statistics

Division of Computer Science (EECS)

machine learning, statistical learning theory, adaptive control

Zoé Hamstead

Dept of City & Regional Planning

environmental planning, climate planning, sustainability and resilience, environmental and climate justice, geographic and spatial analysis, urban policy and political economy, global environmental governance, community engagement

Jelani Nelson

Division of Computer Science (EECS)

theory, algorithms, streaming algorithms, dimensionality reduction, randomized algorithms, machine learning, privacy

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