Alan Hubbard School of Public Health causal inference, targeted learning, statistical issues in epidemiology, precision medicine and public health
Jennifer Ahern School of Public Health mental health, epidemiology, social epidemiology, population health, neighborhood characteristics and health, methodological issues and novel methodological applications in social, traumatic events, substance use, behavioral health, birth outcomes and maternal health
Peng Ding Dept of Statistics Statistical causal inference, missing data, Bayesian statistics, applied statistics
Adityanand Guntuboyina Dept of Statistics nonparametric and high-dimensional statistics, shape constrained statistical estimation, empirical processes, statistical information theory
Patrick Bradshaw School of Public Health epidemiologic methods, Bayesian methods, cancer epidemiology, cardiometabolic risk
Nikita Zhivotovskiy Dept of Statistics mathematical statistics, applied probability, statistical learning theory
Justin Remais School of Public Health Infectious disease dynamics, methodological issues in infectious disease surveillance, infectious diseases, infectious disease epidemiology, global environmental change, climate change, global change, urbanization, mathematical modeling, computational modeling
Candace Yano Dept of Industrial Engineering & Operations Research Haas School of Business supply chain management, service systems management, production-quality interface issues, marketing-production interface issues
Sandrine Dudoit Dept of Statistics School of Public Health statistics, machine learning, data science, applied statistics, statistical computing, computational biology, computational genomics, Precision Medicine, precision health
John (Jack) Colford School of Public Health public health, epidemiology, infectious diseases, clinical trial designs
Andrew Scharlach School of Social Welfare aging, social welfare, family issues, aging-friendly communities, long-term care policies
Martyn Smith School of Public Health cancer, genomics, toxicology, molecular epidemiology, exposome, leukemia, lymphoma, breast cancer, carcinogenesis
Jennifer Listgarten Division of Computer Science (EECS) artificial intelligence, machine learning, computational biology, protein engineering, statistical design of experiments, statistical machine learning, experimental design
Nicholas Jewell School of Public Health Dept of Statistics AIDS, statistics, epidemiology, infectious diseases, dengue fever, Wolbachia, Ebola Virus Disease, SARS, H1N1 influenza, adverse cardiovascular effects of pharmaceuticals, counting civilian casualties during conflicts
Peter Bartlett Dept of Statistics Division of Computer Science (EECS) machine learning, statistical learning theory, adaptive control
Alistair Sinclair Dept of Statistics Division of Electrical Engineering (EECS) algorithms, applied probability, statistics, random walks, Markov chains, computational applications of randomness, Markov chain Monte Carlo, statistical physics, combinatorial optimization
Barbara Abrams School of Public Health obesity, maternal and child health, epidemiology, nutrition, health disparities, pregnancy
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
Bruce Fuller School of Education policy analysis and evaluation, reform issues, charter schools, child care, early childhood development, economy and education
Marvalee H. Wake Dept of Integrative Biology development, evolution, systematics, amphibians, reproductive biology, vertebrate evolutionary morphology, fishes, reptiles, comparative analysis, biodiversity issues
Karthik Shekhar Dept of Chemical & Biomolecular Engineering cellular and systems biology, statistical inference, single-cell genomics
Alan Hubbard
