The Facts of Life: Data driven approaches to systems biology

Professor: Chris Wiggins, Columbia University
Date: Thursday, August 26
Time: 2-3 PM
Place: Rm 2162 Engineering I


"Systems Biology," the study of collective phenomena in molecular biology, is both informed and constrained by an unprecedented volume of biological data and decades of prior biological knowledge. In this talk I will illustrate how these data, along with tools from machine learning and information theory, can be exploited for studying the inference, organization, and origin of biological networks. These include supervised learning approaches for integration of sequence and DNA microarray data; information theoretic approaches to network organization; and discriminative classification for rendering network origins.


Chris Wiggins received his Ph.D. in theoretical physics from Princeton and is now an Assistant Professor at Columbia in the Department of Applied Physics and Applied Mathematics and the Center for Computational Biology and Bioinformatics.

Host: Professor B. S. Manjunath