Sumanta Basu is broadly interested in structure learning and prediction of complex, high-dimensional systems arising in biological and social sciences. His current research focuses on network modeling of high-dimensional time series and nonlinear ensemble learning methods.
Joe Guinness studies modeling and computational issues that arise in the analysis of large spatial-temporal datasets, with a focus on applications in earth sciences, including soil, weather, and climate. He teaches a graduate course in spatial statistics.
Jaehee Kim's research interests are in the general fields of population-genetic dynamical systems, statistical genetics, and mathematical phylogenetics. She also applies mechanistic understanding of population genetics and evolutionary biology to solve important questions in mathematical epidemiology and forensic genetics.
Will Lai is interested in epigenomic approaches to understanding the mechanisms of gene regulation in eukaryotic systems. We focus on combining genomics with bioinformatic algorithm development to deconvolute the eukaryotic regulatory network.
Susan McCouch is a biologist and plant breeder who studies the distribution of natural variation in populations of wild and domesticated rice. She uses information about population structure and the genetic architecture of complex traits to enhance the efficiency of plant improvement, working closely with international collaborators.
Philipp Messer is interested in a broad range of questions in evolutionary biology and population genetics. His research focuses on developing computational and theoretical approaches to study the fundamental processes that underlie molecular evolution.
April Wei is interested in developing and applying population and evolutionary genetics theory to understand human evolution and health. Her recent research focuses on developing accurate and scalable methods for inferring complex demographic history and for understanding genetic and phenotypic evolution in light of population admixture. April will begin her position with us on January 1, 2022.
Amy Williams' research focuses on developing computational methods that leverage large scale genetic datasets to learn about human genetic history, evolution, and the genetic basis of human disease. She is also broadly interested in genetic studies that shed light on haplotype evolution, particularly meiotic recombination.