AI & Fundamentals
Machine learning for genomic medicine: Uncovering hidden structure to derive meaningful relationships - Sara Mostafavi, Assistant Professor, UBC
Machine learning for genomic medicine: Uncovering hidden structure to derive meaningful relationships - Sara Mostafavi, Assistant Professor, UBC
Photo credit: http://saramostafavi.github.io/
DATE: Fri, January 24, 2020 - 3:00 pm
LOCATION: BIOL 2200, 6270 University Blvd, Vancouver, BC V6T 1Z4
DETAILS
Bio:
Sara Mostafavi is an Assistant Professor at the Department of Statistics and the Department of Medical Genetics at University of British Columbia (UBC), and a faculty member at the Vector Institute. She holds a Canada Research Chair (CRC II) in Computational Biology, a Canada CIFAR Chair in Artificial Intelligence (CIFAR-AI), and I is a CIFAR fellow in the Child and Brain Development program. Before arriving at UBC, Sara did her postdoctoral fellowship with Daphne Koller at Stanford University. and obtained a PhD in Computer Science from the University of Toronto in 2011. Sara's research develops and applies machine learning and statistical methods for understanding the relationship between genome, biological function, and disease.