Machine Learning for Drug Discovery
Monday, 6th May 2024 - Vienna, Austria - before ICLR
In an era marked by remarkable strides in science and technology, drug discovery remains an increasingly formidable endeavor. Historically low success rates in developing new therapeutics, compounded by a steady decline in productivity, pose significant challenges. Over the past decade, the machine learning (ML) community has shown growing interest and embarked on pioneering work, yet many of these efforts remain nascent.
MLDD aims to bring together ML for drug discovery experts, innovators, and enthusiasts from the machine learning, biotechnology and drug discovery domains in advance of the ICLR conference in Vienna, Austria to converge, exchange ideas, and forge new paths in revolutionizing therapeutic development.
The event is open for all in the community kindly sponsored by Helmholtz AI Munich. See you there!
Keynotes
Schedule
All times Vienna local time - Central European Time (CET)
| Time | Title | Presenter |
|---|---|---|
| 13.00 - 13.20 | Opening remarks and introduction | MLDD organisers |
| 13.20 - 13.55 | Presentation and Q&A | Smita Krishnaswamy (Yale University) |
| 13.55 - 14.30 | Presentation and Q&A | Thore Graepel (Altos labs) |
| 14.30 - 15.05 | Presentation and Q&A | Žiga Avsec (Google DeepMind) |
| 15.05 - 15.50 | Break, career opportunities and networking | All |
| 15.50 - 16.25 | Presentation and Q&A | Shantanu Singh (Broad Institute) |
| 16.25 - 17.00 | Presentation and Q&A | Lucy Colwell (University of Cambridge) |
| 17.00 - 17.35 | Presentation and Q&A | Debora Marks (Harvard University) |
| 17.35 - 18.10 | Presentation and Q&A | David Baker (University of Washington) |
| 18.10 - 18.15 | Closing remarks | MLDD organisers |
How to get there?
The event will be held in the auditorium of Marriott Courtyard Wien Messe/Prater directly next to the Conference Venue (2 min walk).
The full address is Trabrennstraße 4, 1020 Wien, Austria - situated next to the Conference venue. Please arrive early as we can only accommodate a maximum of ~120 people in the auditorium.
By metro/underground: U2 station Krieau (3 min walk).
Organizing team
