Find UC Berkeley Faculty

Research Expertise and Interest

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Name

Department

Joshua Bloom

Dept of Astronomy

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

Khalid M. Mosalam

Dept of Civil and Environmental Engineering

bridges, concrete and masonry structures, damage mechanics, earthquake engineering, fracture mechanics, machine learning

Daniel Siefman

Dept of Nuclear Engineering

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

Picture of Professor Gray outside the physics department.

Heather Gray

Dept of Physics

particle physics, machine learning, algorithms, quantum algorithms, general purpose computation on the GPU (GPGPU)

David Bamman

School of Information

natural language processing, machine learning, digital humanities, computational social science, data science

Leif Nelson

Haas School of Business

consumer well being, consumer preferences and choices, human judgement, decision-making, consumption experience

Sofia Villas-Boas

Dept of Agricultural & Resource Economics

economics, industrial organization and applied econometrics, agricultural & resource economics, consumer behavior and decision making

Dennis Baldocchi

Dept of Environmental Science, Policy & Management

biometeorology, climate change and ecosystems, biosphere-atmosphere interactions, agricultural meteorology, ecosystem ecology, carbon cycle, evaporation, ecohydrology

Hans-Rudolf Wenk

Dept of Earth and Planetary Science

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

Ayesha S. Mahmud

Dept of Demography

Infectious disease dynamics, disease ecology, mathematical models, Asia, Africa, Central America, climate change

Bethany L. Goldblum

Dept of Nuclear Engineering

applied nuclear physics, neutron detection, scintillation physics, machine learning applications, nuclear weapon policy

Dorit Hochbaum

Dept of Industrial Engineering & Operations Research

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

Daniel Fisher

Dept of Anthropology

media, music, Indigenous Australia, ethnographic film, cinema, urban studies, fire ecology

James W. Bartolome

Dept of Environmental Science, Policy & Management

plant ecology, grazing, biodiversity, grasslands, environmental science, rangelands, fire, mediterranean ecosystems

Huiwen Jia

Dept of Industrial Engineering & Operations Research

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

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

Grace Gu

Dept of Mechanical Engineering

Composites, additive manufacturing, in-situ monitoring and process control, artificial intelligence and machine learning, bioinspired materials

Ann Keller

School of Public Health

political science, health politics, public policy, public administration, disaster response, expertise in public decision-making

Prof. Echeverri Ochoa birdwatching in Caribbean mangroves

Alejandra Echeverri Ochoa

Dept of Environmental Science, Policy & Management

conservation science, neotropical biodiversity, conservation psychology, community ecology, cultural values of nature, women/Latinx in STEM

Kathryn De Master

Dept of Environmental Science, Policy & Management

agriculture, environment, rural conservation and development, agri-food systems, sociology and political ecology of agriculture

Ernesto Dal Bó

Haas School of Business

applied microeconomic theory, political economy, corruption and influence, collective decision-making, coercion, quality of politicians, state capabilities

Ryan Tibshirani

Dept of Statistics

statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning

Carl Boettiger

Dept of Environmental Science, Policy & Management

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

David M. Auslander

Dept of Mechanical Engineering

control systems, simulation, mechatronics, real time software, energy management, satellite attitude control, demand response, machine control

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

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