Video Lectures (41 talks)
A curated collection of 41 research talks from cutting-edge ML + biology conferences — covering geometric deep learning, protein design, generative models for drug discovery, single-cell foundation models, and scientific machine learning. Talks are drawn from leading venues including AI for Science seminars, drug discovery workshops, the MoML conference, and foundation models symposia.
gRNAde: Geometric Deep Learning for 3D RNA Inverse Design
Contextual AI Models for Single-Cell Protein Biology
The Future of Chemistry is Self-Driving (Aspuru-Guzik)
SE(3)-Equivariant Neural Networks for Molecular Systems
Large Language Models Meet Molecular Science
About These Talks
These 41 talks span four thematic collections: AI for Science research seminars covering the breadth of scientific ML, generative AI methods for drug discovery and molecular design, the Molecules and ML (MoML) 2024 conference, and foundation models for biology including single-cell genomics and protein language models. Together they provide a panoramic view of how machine learning is transforming the biological and chemical sciences.
All content is publicly available on YouTube. Talks are organized thematically to complement the ML for Science course structure.