Elizabeth Purdom Dept of Statistics computational biology, bioinformatics, statistics, data analysis, sequencing, cancer genomics
Deborah Nolan Dept of Statistics statistics, empirical process, high-dimensional modeling, technology in education
Sam Pimentel Dept of Statistics causal inference, health services & policy analysis, biostatistics, discrete optimization
Oskar Hallatschek Dept of Physics biophysics, evolutionary dynamics, soft matter, statistical physics, theory and experiments
Mark van der Laan Dept of Statistics School of Public Health targeted learning, real-world data integration in RCTs, sequential adaptive designs, computational biology and genomics, censored data and survival analysis, medical research, inference in longitudinal studies
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
Mimi R. Koehl Dept of Integrative Biology biomechanics, insects, invertebrate functional morphology, fluid dynamics, aerodynamics, marine animals, filtration, gliding vertebrates
Rachel Brem Dept of Plant and Microbial Biology molecular evolution, ecological genetics, genetics and genomics, fungal genetics
Kirk Bansak Dept of Political Science causal inference, experimental design and analysis, algorithmic decision-making, refugee resettlement and asylum politics, public opinion, survey methodology
Elizabeth Purdom
Elizabeth Purdom
Elizabeth Purdom
