Massimo Mazzotti Dept of History history of science, History of Mathematics, history of technology, science and society, science studies, STS
Ali Kakhbod Haas School of Business financial economics, liquidity, market microstructure, big data, contracts
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
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
Paul Schwartz School of Law privacy, information privacy law, data protection law, law and technology
Steven Weber Dept of Political Science School of Information political science, international security, international political economy, information science
Peng Ding Dept of Statistics Statistical causal inference, missing data, Bayesian statistics, applied statistics
Xin Guo Dept of Industrial Engineering & Operations Research stochastic control and games, theory of machine learning and applications to medical and financial data analysis, applied probability and stochastic models
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
Sophia Rabe-Hesketh School of Education biostatistics, educational statistics, latent variable models, missing data methods, multilevel models, generalized linear latent and mixed models, hierarchical models, longitudinal data, Item response models, structural equation models
Marcia C. Linn School of Education artificial intelligence, technology, learning, mathematics, science, education, science teaching, gender equity, design of learning environments
Lee Fleming Dept of Industrial Engineering & Operations Research commercializing breakthroughs, invention, innovation, patents, big data, ethics and technology, leadership
Joshua Bloom Dept of Astronomy machine learning, gamma-ray bursts, supernovae, time-domain astronomy, data-driven discovery
Daryl C. Chrzan Dept of Materials Science and Engineering materials science and engineering, computational materials science, metals and metallic compounds, defects in solids, growth of nanostructures
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
Daniel Siefman Dept of Nuclear Engineering neutronics, criticality safety, nuclear data validation, machine learning, neutron noise, reactor dosimetry
Ronald Amundson Dept of Environmental Science, Policy & Management soils, environmental science, isotope biogeochemistry, pedology, environmental history & ethics, soilsbiogeochemistry, ecosystems
Massimo Mazzotti
