David Anderson Website Biography David Anderson grew up in Bridgewater, Massachusetts before attending the University of Virginia for his bachelor’s degree. He then completed his Ph.D. in Mathematics at Duke University with co-advisors Mike Reed and Jonathan Mattingly. He arrived in Madison for a postdoc in January of 2007, and became a permanent member of …
Karl Broman Website Biography I am an applied statistician focusing on problems in genetics and genomics, particularly the genetic dissection of complex traits in experimental organisms, such as mice.
Guanhua Chen Website Biography I am an Associate Professor of Biostatistics and Medical Informatics at the University of Wisconsin–Madison. I got my Ph.D. from the University of North Carolina at Chapel Hill in 2014 and before joining UW, I was an Assistant Professor of Biostatistics at Vanderbilt University. Research Interests Develop statistical learning methods for …
Moo Chung Website Biography Moo K. Chung, Ph.D. is an Associate Professor of Biostatistics and Medical Informatics at the University of Wisconsin–Madison. He is also affiliated with the Waisman Laboratory for Brain Imaging and Behavior. Chung’s main research area is computational neuroimaging, where noninvasive brain imaging modalities such as magnetic resonance imaging (MRI) and diffusion …
Biography Professor, Physics Department; Director, American Family Data Science Institute; OVCR Academic Program Director
Biography My main research interests are in the area of large-scale optimization. I am also interested in applications of optimization methods, particularly those pertaining to machine learning and networked systems.
Ronald Gangnon Website Biography I am an applied biostatistician focusing on problems in clinical and epidemiologic research. Current methodologic areas of interest include (1) multi-state models for incidence, progression and regression of ocular (and other) diseases, (2) small area estimation problems, particularly ranking, (3) spatial and spatio-temporal modeling, particularly cluster detection and high-dimensional variable selection …
Biography Kirthevasan Kandasamy is an assistant professor in the Department of Computer Sciences at the University of Wisconsin–Madison, working on topics in machine learning and game theory. He completed his PhD in Machine Learning at Carnegie Mellon University, and his B.Sc in Electronics & Telecommunications Engineering at the University of Moratuwa, Sri Lanka. Before joining …
Biography Statistical genetics and computational biology, Bayes and empirical Bayes methods Website