Peng Ding Statistics Statistical causal inference, missing data, Bayesian statistics, applied statistics
Sandrine Dudoit Public Health Statistics statistics, machine learning, data science, applied statistics, statistical computing, computational biology, computational genomics, Precision Medicine, precision health
Avi Feller Statistics Goldman School of Public Policy applied statistics, theoretical statistics, Bayesian statistics, machine learning, statistics in social sciences
Ryan Giordano Statistics machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics
Haiyan Huang Statistics applied statistics, functional genomics, translational bioinformatics, high dimensional and integrative genomic/genetic data analysis, network modeling, hierarchical multi-lable classification
Michael Jordan Statistics Computer Science (EECS) computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization
Rasmus Nielsen Integrative Biology Statistics evolution, molecular evolution, population genetics, human variation, human genetics, phylogenetics, applied statistics, genetics, evolutionary processes, evolutionary biology
Mark Wilson School of Education measurement, psychometrics, assessment, development of assessment resources, assessment systems