Speaker: Professor Regina Barzilay, Delta Electronics Professor, Electrical Engineering and Computer Science (EECS) Department at MIT
Title: "Deep Learning Approaches for Modeling Small Molecules"
Abstract: In this talk, I will present our work on learning molecular representation from data, and its utilization for property prediction and molecular generation. The models we developed can capture both local interactions, and the global dependencies within molecules, yielding top performance across multiple tasks. Finally, I will demonstrate how these approaches were utilized to find a novel therapeutic molecule from a forthcoming Cell publication.
Biography: Regina Barzilay is a 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. Currently, Prof. Barzilay is focused on bringing the power of machine learning to oncology. In collaboration with physicians and her students, she is devising deep learning models that utilize imaging, free text, and structured data to identify trends that affect early diagnosis, treatment, and disease prevention. Prof. Barzilay is poised to play a leading role in creating new models that advance the capacity of computers to harness the power of human language data.