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.
Cecilia Earls' research interests lie in the area of functional data analysis. Her current work considers Bayesian methods for covariance function estimation and functional data registration. Before coming to Cornell, Cecilia worked as an actuarial consultant in a human resources firm. She currently teaches courses in both statistics and actuarial science.
Giles Hooker's research focuses on a number of issues within three fields, including developing and extending the methods of functional data analysis for examining the evolution of systems in terms of nonlinear differential equations.
Alon Keinan studies how human genetic variation has arisen from evolutionary history. His research focuses on elucidating the history of modern human populations and on developing computational methods for searching for genes important in human biology.
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.
Steven Schwager's professional activities are centered on the application of statistical methodology to research questions from a wide range of areas in the biological, physical, and social sciences and business.
Françoise Vermeylen is the director and one of the staff statisticians for Cornell Statistical Consulting Unit (CSCU). She has more than 20 years of experience in providing statistical consulting to researchers at Cornell University. She is also a Senior Lecturer in Biological Statistics and Computational Biology teaching BTRY 4950/7950.
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.