Find UC Berkeley Faculty

Research Expertise and Interest

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

Name

Department

Michael DeWeese

Dept of Neuroscience

Dept of Physics

machine learning, computation, systems neuroscience, auditory cortex, neural coding, statistical mechanics

Division of Electrical Engineering (EECS)

signal processing, image processing, computer vision, Deep Learning

Dept of Statistics

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

Ren Ng

Division of Computer Science (EECS)

imaging systems, computational photography, graphics, optics, computer vision, human vision, signal processing, artificial intelligence

Jose M. Carmena

Division of Electrical Engineering (EECS)

brain-machine interfaces, neural ensemble computation, neuroprosthetics, sensorimotor learning and control

Goldman School of Public Policy

School of Information

applied microeconomics, behavioral science, machine learning

artificial intelligence, intellectual property law, law and technology, criminal justice

Dept of Materials Science and Engineering

energy storage, computational modeling, machine learning, autonomous laboratories

Pierluigi Nuzzo

Division of Computer Science (EECS)

Division of Electrical Engineering (EECS)

cyber-physical systems and design automation, control and intelligent systems and robotics, integrated circuits, computer architecture & engineering, artificial intelligence, power and energy, programming systems, security

School of Education

knowledge representation, adaptive learning, artificial intelligence, learning analytics, Recommender Systems, higher education, data science, Digital Learning Environments, cognitive modeling, Big Data in Education, Knowledge Tracing, Formative Assessment, intelligent tutoring systems, Online Learning, psychometrics, Educational Data Mining

Huiwen Jia

Dept of Industrial Engineering & Operations Research

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

Gopala Krishna Anumanchipalli

Gopala Krishna Anumanchipalli

Division of Computer Science (EECS)

biosystems and computational biology, artificial intelligence, cyber-physical systems and design automation, human-computer interaction, signal processing, intelligent systems and robotics

Dept of Astronomy

machine learning, gamma-ray bursts, supernovae, time-domain astronomy, data-driven discovery

Blumenstock speaking at a conference

Joshua Blumenstock

School of Information

machine learning, development economics, poverty and public policy, inequality and crisis

Aditi Krishnapriyan

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

Yun S. Song

Dept of Statistics

Division of Computer Science (EECS)

computational biology, machine learning, applied probability and statistics

Ali Mesbah

Dept of Chemical & Biomolecular Engineering

model predictive control, learning-based control, low-temperature plasma processing, machine learning and control for plasmas, semiconductor manufacturing

Dept of Psychology

attention, curiosity, learning, computational modeling, cognitive development, machine learning, belief formation

David Bates

Dept of Rhetoric

artificial intelligence, enlightenment, early Modern European intellectual history, 20th century European and American intellectual history, history and theory of media and technology, history of political thought

Irene Chen

Computational Precision Health Program

Division of Computer Science (EECS)

machine learning, personalized medicine and healthcare systems, global health equity, precision health

Dept of Earth and Planetary Science

earthquake physics, geophysical signal discovery

Mengjie Yu

Division of Electrical Engineering (EECS)

physical electronics, artificial intelligence, integrated circuits, micro/nano electro mechanical systems

Biwen Zhang standing in outside location

Biwen Zhang

Haas School of Business

capital markets, conflicts of interest, financial intermediation, machine learning

Daniel Siefman in outside setting

Dept of Nuclear Engineering

neutronics, criticality safety, nuclear data validation, machine learning, neutron noise, reactor dosimetry

artificial intelligence, law and technology, intellectual property law, contemporary art and law, gender and sexuality