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Research Expertise and Interest

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Name

Department

Thomas Courtade

Division of Electrical Engineering (EECS)

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

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

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

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

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

Ali Kakhbod

Haas School of Business

financial economics, big data, machine learning, information frictions

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

Zachary Pardos

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

David Holtz

Haas School of Business

online marketplaces and platforms, computational social science, data science, experimental economics

Paul Schwartz

School of Law

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

Greg Niemeyer

Dept of Art Practice

art, digital media installations, photography, data science, new technology, video games

Aditya Parameswaran

Division of Computer Science (EECS)

School of Information

database management systems, human-computer interaction, data science, information visualization

Streets in his Stanley Hall Laboratory. Photo credit: Michelle Tran

Aaron Streets

Dept of Bioengineering

bioengineering, computational biology, biophysics, data science, microfluidics, microscopy, genomics

Peng Ding

Dept of Statistics

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

Scott Moura

Dept of Civil and Environmental Engineering

control systems, optimization, data science, batteries, electric vehicles, energy systems

Bin Yu

Dept of Statistics

machine learning, trustworthy data science and AI, interdisciplinary research in biomedicine, neuroscience, climate science

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