Chris Willcocks

Dr. Chris Willcocks is an Associate Professor in the Department of Computer Science at Durham University, specializing in generative models and machine reasoning. He has authored over 35 peer-reviewed publications in top-tier venues including ICLR, TPAMI, CVPR, and IEEE TIFS. His research group has made significant contributions to theoretical generative modeling, including ∞-Diff for infinite-resolution synthesis and anomaly detection techniques like AnoDDPM.

His research interests focus on theoretical generative modeling, machine reasoning frameworks, and AI safety. Key projects include diffusion models in Hilbert spaces, gradient origin networks, and applications in medical anomaly detection and security threat analysis.

Teaching responsibilities include deep learning, reinforcement learning, and cybersecurity modules. Industry collaborations span multinational corporations (P&G, Unilever, Dyson) and public sector organizations (NHS, DSTL), with over 15 invited talks on AI ethics and cybersecurity.

Awards include fellowship of the Higher Education Academy. Professional activities include serving as area chair for BMVC and admissions tutor for computer science.

Willcocks supervises multiple postgraduate students including Jonathan Frawley and Rita Liu, and maintains a YouTube channel with educational content on deep learning.