Elizabeth Purdom Dept of Statistics computational biology, bioinformatics, statistics, data analysis, sequencing, cancer genomics
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
Ryan Tibshirani Dept of Statistics statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning
Adityanand Guntuboyina Dept of Statistics nonparametric and high-dimensional statistics, shape constrained statistical estimation, empirical processes, statistical information theory
Steven E. Brenner Dept of Bioengineering Dept of Molecular & Cell Biology Dept of Plant and Microbial Biology molecular biology, computational biology, evolutionary biology, bioengineering, structural genomics, computational genomics, cellular activity, cellular functions, personal genomics
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
Jelani Nelson Division of Computer Science (EECS) theory, algorithms, streaming algorithms, dimensionality reduction, randomized algorithms, machine learning, privacy
Lexin Li School of Public Health neuroimaging data analysis, deep brain stimulation, brain-computer-interface, statistical machine learning, deep learning, reinforcement learning, networks data analysis, functional data analysis, tensor analysis, ordinary differential equations, dimension reduction, high dimensional inference
T. Don Tilley Dept of Chemistry inorganic, organometallic, polymer and materials chemistry, transition metal compounds, catalysis, new chemical transformations, advanced solid state materials, renewable energy, solar fuels
Elizabeth Purdom
