Machine Learning in Drug Discovery Symposium

Registration Now Closed

Look for video recordings in about one month.

 

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, Modeling and Simulation
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

Platinum-level sponsor
Wuxi Apptec is a platinum-level sponsor of the Machine Learning in Drug Discovery Symposium

 

Gold-level sponsor
TandemAI is a gold-level sponsor of the Machine Learning in Drug Discovery Symposium

 

Silver-level sponsor
 Cellarity is a silver-level sponsor of the Machine Learning in Drug Discovery Symposium