Join us for the next instalment of the Data Science Applied Research and Education Seminar (ARES) with:
Dr. Chiara Sabatti
Professor of Biomedical Data Science
Professor of Statistics
Associate Director of Data Science
Human Populations and Gene Mapping, Some Novel Directions
Identifying which genetic variants influence medically relevant phenotypes is an important task both for therapeutic development and for risk prediction. In the last decade, genome wide association studies have been the most widely-used instrument to tackle this question. One challenge that they encounter is in the interplay between genetic variability and the structure of human populations. In this talk, we will focus on some opportunities that arise when one collects data from diverse populations and present statistical methods that allow us to leverage them. The presentation will be based on joint work with M. Sesia, S. Li, Z. Ren, Y. Romano and E. Candes
Chiara Sabatti leads a small group housed in the departments of Biomedical Data Science and Statistics at Stanford University, with interests in the statistical challenges presented by high-throughput genomics data. We are members of the CEHG, the center for Computational, Evolutionary and Human Genomics, BioX, and the Stanford Cancer Institute. Chiara is also an associate director for Stanford Data Science, and has helped to get the new Data Science Major off the ground.