Steven Altschuler - Abstract and Bio
Abstract
Single cell analysis of drug perturbations
We will discuss recently developed approaches to analyzing the heterogeneous responses of cell populations to perturbations. Using a combination of automated high-content immunofluorescence microscopy, high performance computing, image analysis, and machine learning, we demonstrate how millions of individual cell phenotypes can be used to generate drug profiles, and ultimately predict mechanism of action.
Bio: Steven Altschuler
Steve Altschuler graduated from the University of California at San Diego with a doctorate in mathematics. His work focused primarily on applications of systems of nonlinear partial differential equations to problems in differential geometry and topology. He left the faculty at Princeton University to join the fledgling research division at Microsoft, where he founded a number of research efforts including projects in video compression and speech/noise separation from multi-microphone input. Prior to joining the Department of Pharmacology and Green Center for Systems Biology at UT Southwestern Medical Center, Dr. Altschuler was at Rosetta Informatics and a Fellow at the Bauer Center for Genomics Research at Harvard University.
