Encode Project Q&A – AI for Drug Discovery

​Join us for a virtual info session to learn more about the Encode: AI for Science Fellowship.

​🧪 This session will feature Philip Torr, one of of our faculty hosts for the upcoming cohort. He is a Professor of Engineering Science and his project will be rooted in AI for Drug Discovery.

​​During this session, you’ll hear directly from Philip about his research focus, the project he'll be leading, and how fellows can bring ML/AI expertise to the project. There will also be time for Q&A with the Pillar VC team.

​​Upcoming Project Q&A Sessions:

Encode Project Q&A #5: April 11th @ 2pm
- AI for NeuroMotor Interfacing (Dario Farina)
- AI for Systems-Behavioral Neuroscience (Rui Ponte Costa)
- AI for Multiscale Physics (Miles Cranmer)

​About Encode
Encode: AI for Science is powered through our partnership with the Advanced Research + Invention Agency (ARIA).