Machine Learning in Drug Discovery Symposium

The next Machine Learning in Drug Discovery Symposium will take place on Friday, October 27th, 2023.

Visit our Eventbrite page to register. Registration opens July 3rd, 2023,

The hybrid symposium will highlight recent progress in the application of machine learning techniques to drug discovery and bring together researchers in the field that can benefit from networking. These researchers could be working in applying machine learning to target validation, hit identification and optimization, clinical trial design, biologics, or other areas of drug discovery.

If you are interested in sponsoring the symposium, reach out to mlinddsymposium@broadinstitute.org.

Click here to submit a poster abstract by September 18th if you wish to present a poster at the symposium. Please only submit a poster abstract after registering to attend the event in person through Eventbrite

 

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

Gold-level sponsors
Wuxi Apptec 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