Oliver M. Crook

Oliver M. Crook is a computational and biophysical chemist at the University of Oxford, where he develops statistical and machine-learning methods for proteomics and structural biology. His research spans from Bayesian modeling to protein design models, with a focus on understanding how AI can be safely and responsibly applied to biological data. To that end, he co-authored two papers showcasing state-of-the-art methods for genetic engineering attribution. Beyond methodological advances, he is engaged in questions of governance and biosecurity, exploring frameworks for responsible innovation in AI-enabled biology.