Profile Chris G. Willcocks
Assistant Professor
Department of Computer Science
Durham University
Office: MCS 2026
Tel: +44 (0) 191 334 4854


My research spans a number of areas in Computer Science, including Machine Learning, Computational Geometry, Generative Models, Level-set Methods, and Machine Reasoning. Here is a list of my publications. For recent news please visit my twitter profile, and for software updates visit my github page.

Selected Publications

  • Bond-Taylor, S., Leach, A., Long, Y., & Willcocks, C. G. (2021). Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models. arXiv preprint arXiv:2103.04922. URL:
  • Ramaswamy, V. K., Musson, S. C., Willcocks, C. G., & Degiacomi, M. T. (2021 , Mar). Deep learning protein conformational space with convolutions and latent interpolations. Phys. Rev. X, 11, 011052. doi:10.1103/PhysRevX.11.011052
  • Bond-Taylor, S., & Willcocks, C. G. (2021). Gradient origin networks. International Conference on Learning Representations. URL:
  • Nguyen, B., Feldman, A., Bethapudi, S., Jennings, A., & Willcocks, C. G. (2020). Unsupervised region-based anomaly detection in brain mri with adversarial image inpainting. arXiv preprint arXiv:2010.01942. URL:


I teach the year three Deep Learning & Reinforcement Learning submodule alongside the year two Cyber Security submodule. Slides and other material are available in the teaching section. Past teaching:


I am an Assistant Professor in Computer Science at Durham University and a member of the Innovative Computing Group (ICG). I cofounded the research spinout company Intogral Limited which deploys deep learning models in the area of medical image computing. Previously I worked as a PDRA for Newcastle University, Durham University, and have been a visiting scholar at both the Chinese University of Hong Kong (CUHK) and the Hong Kong University of Science and Technology (HKUST). My interdisciplinary research focuses on providing elegant solutions to computationally expensive or ill-defined problems within the fields of computational geometry, cyber security, machine learning, medical image computing and biophysics.

Professional Activities

[return to top]