Find UC Berkeley Faculty

Research Expertise and Interest

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Name

Department

Jennifer Anne LaFleur

School of Journalism

data journalism, investigative journalism, disability, inequality, criminal justice

Jason Spingarn-Koff

School of Journalism

climate change, journalism, documentary filmmaking

Ken Light

School of Journalism

journalism, photojournalism, documentary photography

Shereen Marisol Meraji

School of Journalism

audio journalism, Podcasting, Race and Ethnicity in the United States

William J. Drummond

School of Journalism

politics, journalism, reporting, national security, freelancing in both print and radio

Michael Pollan

School of Journalism

agriculture, environment, obesity, science, nutrition, journalism, food, cooking, gardening

Geeta Anand

School of Journalism

journalism, health care, equity, social justice, politics, ethics, media, disinformation, India, international affairs

Richard K. Hernandez

School of Journalism

journalism, new media, Mobile, visual storytelling, virtual reality, film/video production, photojournalism

Edward Wasserman

School of Journalism

media ethics, economics and politics of news, professional standards, media history, journalism, press

Fernando Perez

Dept of Statistics

data science, Educational Data Science, scientific computing

Song Mei

Dept of Statistics

data science, statistics, machine learning

Michelle Wilkerson

School of Education

K-12 math and science education, science education, mathematics education, computing education, design-based research, computers in K-12 education, data literacy, data science education

Mark Danner

Dept of English

School of Journalism

foreign affairs, voting and elections, journalism, Central America, politics, Balkans, Haiti, documentaries, terrorism, the Middle East, contemporary literature, modernist writers, contemporary literature and film

Abhishek Nagaraj

Haas School of Business

innovation, entrepreneurship, big data, cartography

Erin Hartman

Dept of Political Science

causal inference, survey data analysis

Emma Pierson

Division of Computer Science (EECS)

data science, machine learning, inequality, Healthcare

Xiudi Li

School of Public Health

causal inference, data integration, federated learning and transfer learning, electronic health records, clinical trials, High Dimensional Data Analysis

Elizabeth Purdom

Dept of Statistics

computational biology, bioinformatics, statistics, data analysis, sequencing, cancer genomics

Benjamin Recht

Division of Computer Science (EECS)

machine learning, data science, artificial intelligence

Paul Grigas

Dept of Industrial Engineering & Operations Research

optimization, machine learning, data-driven decision-making

Mark van der Laan

Dept of Statistics

School of Public Health

targeted learning, real-world data integration in RCTs, sequential adaptive designs, computational biology and genomics, censored data and survival analysis, medical research, inference in longitudinal studies

Ali Kakhbod

Haas School of Business

financial economics, big data, machine learning, information frictions

Lexin Li

School of Public Health

neuroimaging data analysis, deep brain stimulation, brain-computer-interface, statistical machine learning, Deep Learning, reinforcement learning, networks data analysis, functional data analysis, tensor analysis, ordinary differential equations, dimension reduction, high dimensional inference

Alexandre Mas

Haas School of Business

labor markets, human resources, data analysis and statistical methods

Thomas Courtade

Division of Electrical Engineering (EECS)

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

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