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

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



Imran Haque
Senior Vice President, AI and Digital Sciences

Raquel Rodríguez Pérez
Principal Scientist, Modeling and Simulation

Raphael Townshend
Atomic AI

Gevorg Grigoryan
Generate Biomedicines

Christoph Grebner
Artificial Intelligence Scientist and Computational Chemist

Andrew White
Associate Professor
University of Rochester

Possu Huang
Assistant Professor
Stanford University

Djork-Arné Clevert
Head of Machine Learning Research, Vice President



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