Biosecurity and intersections with AI - either policy related or empirical research that could help policy makers. In particular methods to understand data controls, interpretability, data attribution. We are also interested in problems arising from lab-in-the-loop and autonomous systems.
Standard (1-2 hours of weekly 1:1s)
Strong preference
Weak preference
I am a group leader at the University of Oxford working in protein chemistry and machine learning. Our field has had huge success with AI, but these successes come with potential catastrophic risks. Much of my research focuses on responsible innovation and biosecurity alongside the more academic work in biophysics and protein design. I am interested in empirical studies that can support biosecurity and foundational biosecurity work that sits closer to policy.
Computational experience e.g. Python OR statistical modelling interest in biosecurity
We will construct a project together that best suits the skills and interests of the fellow and what I can reasonably be helpful for.