Explore a series of lightning talks from selected poster presenters at the Broad Institute, covering cutting-edge applications of machine learning in drug discovery. Delve into Joshua Meier's discussion on antibody optimization using ML predictions for binding affinity and naturalness. Learn about Divya Nori's research on de novo PROTAC design utilizing graph-based deep generative models. Discover Rocío Mercado's insights on meta-learning for optimizing small molecule binders. Examine Xuetao Shi's presentation on the Protein-Fragment Interaction Graph Database. Conclude with a Q&A session to gain further understanding of these innovative approaches in computational biology and drug development.