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