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 Ó³»­´«Ã½ Machine Learning in Drug Discovery symposium held on October 27, 2023.

 

Keynote Speaker

Daphne Koller
CEO and Founder
insitro

 

Speakers


Senior Vice President, AI and Digital Sciences
Recursion


Principal Scientist, Modeling and Simulation
Novartis


CEO
Atomic AI
 


CTO
Generate Biomedicines
 


Artificial Intelligence Scientist and Computational Chemist
Sanofi-Aventis


Associate Professor
University of Rochester
 


Assistant Professor
Stanford University
 


Head of Machine Learning Research, Vice President
Pfizer

 

Sponsors

Platinum-level sponsor

 

Gold-level sponsor

 

Silver-level sponsor