- PhD student
My PhD supervisors are Prof Sir Tom Blundell and Prof Pietro Liò at the University of Cambridge. My work focuses on leveraging AI for molecular design, particularly through diffusion models and self-supervised learning to uncover new biology.
I am affiliated with the Department of Computer Science and the Cambridge Center for AI in Medicine (CCAIM) at Cambridge. My broader research interests include the application of AI in structural biology and drug discovery, with a particular focus on generative models.
Before embarking on my PhD, I earned an MSc in Bioinformatics and Theoretical Systems Biology from Imperial College London, where I was mentored by Prof Michael Bronstein and Prof Bruno Correia. I also have a strong foundation in Biochemistry, having completed my undergraduate studies at Imperial.
Outside of my research, I have a deep interest in science communication and have been actively involved in organizing conferences and writing articles that bridge AI and drug discovery. I founded the first Cambridge AI in Drug Discovery Conference, which drew over 3,000 attendees. I am also passionate about gliding, a sport in which I’ve competed at the varsity level, earning a Cambridge Half Blue.
Biography
Test
Teaching
Geometric Deep Learning (Part III/MPhil)
Bioinformatics (Part II)
Publications
Selected Papers
- Harris, C., Didi, K., Jamasb, A., Joshi, C., Mathis, S., Liò, P., Blundell, T. (2023). PoseCheck: Generative Models for 3D Structure-based Drug Design Produce Unrealistic Poses. NeurIPS MLSB Workshop (Oral).
- Schneuing, A., Du, Y., Harris, C., et al. (2022). Equivariant Diffusion Models for Structure-based Drug Design. NeurIPS MLSB Workshop.
- Du, Y., Jamasb, A.R., Guo, J., Fu, T., Harris, C., et al. (2024). Machine Learning-aided Generative Molecular Design. Nature Machine Intelligence.
