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Image Sumanta Basu

Sumanta Basu

Assistant Professor
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.
Image Jim Booth
James Booth's teaching mission is to enhance and support the graduate program in statistics, the undergraduate program in biometry and statistics, and more broadly, statistics education at Cornell.
Image Andy Clark

Andrew Clark

Professor and Chair
Andrew G. Clark is the Jacob Gould Schurman Professor of Population Genetics and Nancy and Peter Meinig Family Investigator.
Image Joe Guinness

Joe Guinness

Assistant Professor

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.
Image Giles Hooker

Giles Hooker

Associate Professor
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

Alon Keinan

Associate Professor
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.
Image Susan McCouch

Susan McCouch

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.
Image Philipp Messer

Philipp Messer

Assistant Professor
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.
Image Jason Mezey
Jason Mezey is a statistical geneticist working in the area of quantitative genetics, i.e. the genetics of complex phenotypes.
Steven Schwager

Steven J. Schwager

Professor Emeritus
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.
Image Francois Vermeylen

Francoise Vermeylen

Senior Lecturer
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.
Image Xiaomu Wei

Xiaomu Wei

Assistant Research Professor
Xiaomu Wei is broadly interested in cancer genetics/genomics with a strong focus on the identification and functional characterization of novel predisposing mutations in human cancers.
Image Martin Wells

Martin T. Wells

Professor and Chair
Martin Wells' research interests center on applied and theoretical statistics and sometimes cross the boundary into applied probability.
Image Amy Williams

Amy Williams

Assistant Professor
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.
Haiyuan Yu

Haiyuan Yu

Haiyuan Yu's research interests are in Quantitative and experimental systems biology; Statistical genetics; Comparative genomics; Machine learning; Molecular evolution; and Disease prognosis analysis.