Quantitative methods for genetic discovery.
Statistical genetics combines principles of statistics, genetics, and computational biology to analyze genetic data and understand how genes influence traits and diseases. This field develops mathematical frameworks and analytical tools to interpret complex genetic information and draw meaningful biological conclusions.
Faculty studying statistical genetics.
James Booth
Professor of Statistics and Data Science, Department Chair
James Booth
Professor of Statistics and Data Science, Department Chair
Contact
jim.booth@cornell.edu
Martin T. Wells
Charles A. Alexander Professor of Statistical Sciences, Director of Undergraduate Studies, Statistics and Data Science
Martin T. Wells
Charles A. Alexander Professor of Statistical Sciences, Director of Undergraduate Studies, Statistics and Data Science
Contact
mtw1@cornell.edu
