Christian Borgs Division of Computer Science (EECS) theoretical computer science, probability theory, combinatorics, complex networks, statistical physics, artificial intelligence, applications of artificial intelligence and machine learning in engineering and sciences
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
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
Ian Wang Dept of Environmental Science, Policy & Management genetics and genomics, genomics, landscape genetics, evolution, population genetics, conservation, herpetology, GIS, spatial analysis, statistical methods, epigenetics
Daniel Klein Division of Computer Science (EECS) unsupervised language acquisition, efficient algorithms for NLP, linguistically rich models of language, integrating symbolic and statistical methods for NLP, organization of the web, machine translation, information extraction
Kannan Ramchandran Division of Computer Science (EECS) Division of Electrical Engineering (EECS) statistical and sparse signal processing, adversarial and distributed machine learning, coded computing, privacy and security, scalable distributed video-on-demand delivery, coding theory, communications, information theory, peer-to-peer networking, blockchains
Nilah Ioannidis Division of Computer Science (EECS) computational biology, machine learning, artificial intelligence, genomics, personal genome interpretation, precision health, rare diseases, statistical genetics, molecular biology, biophysics
Henry Brady Dept of Political Science Goldman School of Public Policy comparative politics, public policy, electoral politics, political participation, survey research, program evaluation, statistical methods in the social sciences, social welfare policy, Soviet Union, inequality in America
Sheldon Zedeck Dept of Psychology statistics, organization, psychology, research methodology, industrial, social psychology, personnel, cross-cultural work values, decision-making research, work and family issues, the work values of Chinese employees
William (Bill) D. Thompson Dept of Psychology cognition, cognitive science, artificial intelligence, learning, Problem solving, Reasoning, decision-making, Bayesian statistics, natural language processing, machine learning, computational modeling, collective decision-making, social networks
Sam Pimentel Dept of Statistics causal inference, health services & policy analysis, biostatistics, discrete optimization
Vadim Gorin Dept of Mathematics Dept of Statistics integrable probability, random matrices, asymptotic representation theory
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
Adam Yala Computational Precision Health Program Dept of Statistics Division of Computer Science (EECS) artificial intelligence, health
Mark Wilson School of Education measurement, psychometrics, assessment, development of assessment resources, assessment systems
Xiao-Jun Zhang Haas School of Business security valuation, financial statement analysis, accounting theory, corporate disclosure, auditing, international accounting, machine learning and asset pricing
Laura Stoker Dept of Political Science American politics, political behavior, political psychology, public opinion, voting and elections, political socialization, research design and empirical methods
Sofia Villas-Boas Dept of Agricultural & Resource Economics economics, industrial organization and applied econometrics, agricultural & resource economics, consumer behavior and decision making
Jeffrey M. Perloff Dept of Agricultural & Resource Economics economics, labor, industrial organization, antitrust, econometrics, agricultural economics, trade, marketing
Prasad Raghavendra Division of Computer Science (EECS) theory(THY), optimization, complexity theory, approximation algorithms
Costas J. Spanos Division of Electrical Engineering (EECS) integrated circuits, solid-state devices, sensors, semiconductor manufacturing, energy efficiency, smart buildings
Christian Borgs
