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Atchley, William R. William Neal Reynolds Distinguished Professor of Genetics and Associate Member of Statistics PhD, University of Kansas Postdoctoral, University of Melbourne Position Type - Emeritus Faculty |
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Aylor, David L. Assistant Professor of Genetics PhD, North Carolina State University Postdoctoral, University of North Carolina at Chapel Hill Position Type - Faculty Research Areas - Behavioral / Biomedical | Computation / Bioinformatics | Population / Quantitative |
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Motsinger-Reif, Alison Assistant Professor of Statistics PhD, Vanderbilt University Position Type - Associate Faculty Research Areas - Computation / Bioinformatics |
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Nielsen, Dahlia M. Associate Professor of Genetics PhD, North Carolina State University Position Type - Faculty Research Areas - Computation / Bioinformatics |
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Reif, David M. Associate Professor of Genetics Postdoc, U.S. Environmental Protection Agency PhD, Vanderbilt University MS, Vanderbilt University BS, College of William & Mary Position Type - Faculty Research Areas - Computation / Bioinformatics |
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Singh, Nadia D. Assistant Professor of Genetics and Associate Member of Biology PhD, Stanford University Postdoctoral, Cornell University Position Type - Faculty Research Areas - Computation / Bioinformatics | Population / Quantitative |
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Stone, Eric Associate Professor of Genetics PhD, Stanford University Position Type - Faculty Research Areas - Computation / Bioinformatics |
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Thorne, Jeffrey L. Professor of Genetics and Statistics PhD, University of Washington Postdoctoral, Cornell University Position Type - Faculty Research Areas - Computation / Bioinformatics |
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Zeng, Zhao-Bang William Neal Reynolds Professor of Statistics and Genetics PhD, University of Edinburgh Postdoctoral, North Carolina State University Position Type - Faculty Research Areas - Computation / Bioinformatics | Population / Quantitative |

Research groups in the computation and bioinformatics focus area develop new approaches for the management, analysis, and modeling of large, complex data sets. Research programs in this focus area use interdisciplinary techniques, including those from computer science, mathematics, and statistics.

