Peng Ding Statistical causal inference, missing data, Bayesian statistics, applied statistics Dept of Statistics
Sandrine Dudoit statistics, applied statistics, statistical computing, computational biology and genomics Dept of Statistics School of Public Health
Noureddine El Karoui applied statistics, theory and applications of random matrices, large dimensional covariance estimation and properties of covariance matrices, connections with mathematical finance Dept of Statistics
Avi Feller applied statistics, theoretical statistics, Bayesian statistics, machine learning, statistics in social sciences Dept of Statistics Goldman School of Public Policy
Haiyan Huang applied statistics, functional genomics, translational bioinformatics, high dimensional and integrative genomic/genetic data analysis, network modeling, hierarchical multi-lable classification Dept of Statistics
Michael Jordan computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization Dept of Statistics Division of Computer Science/EECS
