

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).