Learning to Discover Drugs

2/14/19 | 4:15pm | E51-335
Reception to follow.





Regina Barzilay

Delta Electronics Professor

Abstract: Rapid developments in machine learning have completely transformed multiple areas of science and engineering. While today penetration of this technology into the pharmaceutical industry and medicine is still limited, the situation is rapidly changing. In this talk, I will describe ML algorithms that we have successfully implemented in the pharmaceutical industry including models for predicting biochemical properties, forward synthesis and molecular optimization.  This is a joint work with Wengong Jin, Kyle Swanson, Kevin Young, Connor Coley, Tommi Jaakkola and Klavs Jensen.

Bio: Regina Barzilay is a Delta Electronics professor in the Department of Electrical Engineering and Computer Science and a member of the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology. Her research interests are in natural language processing, applications of deep learning to chemistry and oncology. She is a recipient of various awards including the NSF Career Award, the MIT Technology Review TR-35 Award, Microsoft Faculty Fellowship and several Best Paper Awards at NAACL and ACL. In 2017, she received a MacArthur fellowship, an ACL fellowship and an AAAI fellowship. She received her Ph.D. in Computer Science from Columbia University, and spent a year as a postdoc at Cornell University.

Event Time: 

2019 - 16:15