Peng Ding Dept of Statistics Statistical causal inference, missing data, Bayesian statistics, applied statistics
Nikita Zhivotovskiy Dept of Statistics mathematical statistics, applied probability, statistical learning theory
Tina Trujillo School of Education educational equity, urban schooling, educational leadership, high stakes accountability, school improvement, educational policy, educational management and administration
Michelle Young School of Education educational leadership, policy analysis, critical theory, educational equity
Avi Feller Dept of Statistics Goldman School of Public Policy applied statistics, theoretical statistics, Bayesian statistics, machine learning, statistics in social sciences
Deborah Nolan Dept of Statistics statistics, empirical process, high-dimensional modeling, technology in education
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
Adityanand Guntuboyina Dept of Statistics nonparametric and high-dimensional statistics, shape constrained statistical estimation, empirical processes, statistical information theory
Samuel Lucas Dept of Sociology research methods, demography, sociology, social stratification, sociology of education, research statistics
Janelle Scott School of Education Dept of African American Studies educational policy, charter schools, politics of education, race and education, school choice, desegregation, philanthropy and education, advocacy
Dana Miller-Cotto School of Education educational equity, early childhood education, cognitive processes, early math learning, social contexts of education
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
Michael Jordan Dept of Statistics Division of Computer Science (EECS) computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization
Perry de Valpine Dept of Environmental Science, Policy & Management population ecology, mathematical modeling and statistics
Yun S. Song Dept of Statistics Division of Computer Science (EECS) computational biology, machine learning, applied probability and statistics
Elizabeth Purdom Dept of Statistics computational biology, bioinformatics, statistics, data analysis, sequencing, cancer genomics
Ahmed Alaa Computational Precision Health Program machine learning and artificial intelligence, health care, statistics
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
Ryan Giordano Dept of Statistics machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics
Amanda Coston Dept of Statistics causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness