Machine Learning in Drug Discovery Symposium
The Machine Learning in Drug Discovery Symposium took place on Friday, October 27th, 2023.
The hybrid symposium highlighted recent progress in the application of machine learning techniques to drug discovery and brought together researchers working in applying machine learning to target validation, hit identification and optimization, clinical trial design, biologics, and other areas of drug discovery for talks, poster sessions and networking.
For questions about the symposium or interest in sponsoring the 2024 symposium, reach out to mlinddsymposium@broadinstitute.org.
This playlist contains the talks and opening and closing remarks from the Broad Machine Learning in Drug Discovery symposium held on October 27, 2023.
Keynote Speaker
Daphne Koller
CEO and Founder
insitro
Speakers
Imran Haque
Senior Vice President, AI and Digital Sciences
Recursion
Raquel Rodríguez Pérez
Principal Scientist,
Novartis
Raphael Townshend
CEO
Atomic AI
Gevorg Grigoryan
CTO
Generate Biomedicines
Christoph Grebner
Artificial Intelligence Scientist and Computational Chemist
Sanofi-Aventis
Andrew White
Associate Professor
University of Rochester
Possu Huang
Assistant Professor
Stanford University
Djork-Arné Clevert
Head of Machine Learning Research, Vice President
Pfizer
Sponsors
