9/1 8:00 - 10:30, Memorial Auditorium
Understanding Gene Regulation: From Networks to Mechanisms
Professor of Computer Science, Stanford University.
Gene expression is regulated by a complex network that involves multiple layers. The activity of this network is modified by multiple internal and external perturbations. This talk describes computational methods that utilize high-throughput data and statistical models to understand these processes. I will show how gene expression data from a population of genetically diverse individuals can be used to uncover genetic mechanisms that cause phenotypic diversity. We demonstrate the applicability of these methods to tasks ranging from understanding basic regulatory mechanisms (such as chromatin modification or mRNA degradation) to to elucidating mechanisms involved in human disease.
Daphne Koller is a Professor of Computer Science at Stanford University. Her main research focus is in developing and using statistical learning methods to understand complex systems. She is the author of numerous publications, in venues that include Science, Nature Genetics, and Cell. She has the Sloan Foundation Faculty Fellowship (1996), the ONR Young Investigator Award (1998), the Presidential Early Career Award for Scientists and Engineers (1999), the IJCAI Computers and Thought Award (2001), the Cox Medal for excellence in fostering undergraduate research (2003), the MacArthur Foundation Fellowship (2004) and the first-ever ACM/Infosys award (2008).