Paul Schwartz School of Law privacy, information privacy law, data protection law, law and technology
Rebecca Wexler School of Law evidence law, criminal procedure, privacy, intellectual property protection
Kenneth A. Bamberger School of Law technology, privacy, artificial intelligence, government regulations, corporate compliance
Deirdre Mulligan School of Information information policy, law, privacy, security, machine learning and artificial intelligence
Jennifer Urban School of Law intellectual property, privacy, copyright, artists' rights, free expression, notice and takedown, free and open source licensing, defensive patent licensing, DMCA, patent, how technical and policy design affect privacy and other social values
Jelani Nelson Division of Computer Science (EECS) theory, algorithms, streaming algorithms, dimensionality reduction, randomized algorithms, machine learning, privacy
Tejas Narechania School of Law administrative law, antitrust, artificial intelligence, intellectual property, law and technology, privacy and cybersecurity, telecommunications law, internet technology
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
Thomas Courtade Division of Electrical Engineering (EECS) information theory, probability, data compression, communications, computer science
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
Benjamin Recht Division of Computer Science (EECS) machine learning, data science, artificial intelligence
Elizabeth Purdom Dept of Statistics computational biology, bioinformatics, statistics, data analysis, sequencing, cancer genomics
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
Jennifer Anne LaFleur School of Journalism data journalism, investigative journalism, disability, inequality, criminal justice
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
Andrew Bray
