Keegan (she/her/hers) is an assistant professor in the Department of Statistics at the University of British Columbia and an investigator in the Centre for Molecular Medicine and Therapeutics at the BC Children’s Hospital Research Institute. She is also a faculty member in the Bioinformatics and Genome Science and Technology graduate programs at UBC. Her research group tackles the challenging task of uncovering meaningful biological insights from large-scale genomic experiments. Innovative technologies now allow scientists to probe the genome in more dimensions and at higher resolution than ever before, providing a wealth of information for studying the genomic basis of complex traits. However, discoveries from these new technologies can often be masked by technical artifacts, systematic biases, or low signal-to-noise ratio - think “needle in a haystack”. Keegan leads a team of researchers that focuses on developing novel frameworks and rigorous inferential procedures that exploit the increased scope and scale of high-throughput sequencing data, with the ultimate goal of uncovering new molecular signals in cancer, child health, and development.
Prior to joining UBC and BCCHR, Keegan was a Postdoctoral Research Fellow with Rafael Irizarry in the Department of Data Sciences at Dana-Farber Cancer Institute and the Department of Biostatistics at the Harvard T. H. Chan School of Public Health. She earned her PhD in the Department of Statistics at the University of Wisconsin Madison with Christina Kendziorski.
Click here for a list of selected invited talks given by Keegan Korthauer
Search for Keegan Korthauer's papers on the Research page