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Research Expertise and Interest

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Name

Department

Dept of Environmental Science, Policy & Management

global change, natural climate solutions, Dynamic Vegetation, carbon cycle, ecophysiology, land-atmosphere interactions, biogeochemistry, micrometeorology, remote sensing, mathematics and data science

Erin Hartman

Dept of Political Science

causal inference, survey data analysis

Gašper Beguš

Dept of Linguistics

computational linguistics, machine learning, artificial intelligence, Generative AI, Deep Learning, speech processing, NLP, phonology, articulatory and acoustic phonetics, historical linguistics, Indo-European linguistics

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

Jitendra Malik

Division of Computer Science (EECS)

computer science, electrical engineering, vision science, computer vision, robotics

Abhishek Nagaraj

Haas School of Business

innovation, entrepreneurship, big data, cartography

Massimo Mazzotti

Dept of History

history of science, History of Mathematics, history of technology, science and society, science studies, STS

Xiudi Li

School of Public Health

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

Steven Weber

Dept of Political Science

School of Information

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

Jennifer Anne LaFleur

School of Journalism

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

Elizabeth Purdom

Dept of Statistics

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

Ali Kakhbod

Haas School of Business

financial economics, liquidity, market microstructure, big data, contracts

Mark Asta

Dept of Materials Science and Engineering

computational materials science

Paul Grigas

Dept of Industrial Engineering & Operations Research

optimization, machine learning, data-driven decision-making

Verónica Gómez Sánchez

Dept of Philosophy

philosophy of science, metaphysics, cognitive science

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

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

Paul Schwartz

School of Law

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

Lab principal investigator wearing a hard hat carrying a cooler of samples in a forest

Benjamin Wong Blonder

Dept of Environmental Science, Policy & Management

climate change, science education

Joseph M. Hellerstein

Division of Computer Science (EECS)

computer science, database systems, distributed systems

Jennifer Chayes

Dept of Mathematics

Dept of Statistics

Division of Computer Science (EECS)

phase transitions in computer science, structural and dynamical properties of networks, graphons, machine learning, ethical decision making, climate change

Marcia C. Linn

School of Education

artificial intelligence, technology, learning, mathematics, science, education, science teaching, gender equity, design of learning environments

Chi-Yuen Wang

Dept of Earth and Planetary Science

earth & planetary science

Peng Ding

Dept of Statistics

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

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