James Fergusson is a Professor of Theoretical Cosmology in Department of Applied Mathematics and Theoretical Physics.  He was a member of the Planck consortium where he developed novel methods of constraining primordial non-Gaussianity using Cosmic Microwave Background and Large Scale Structure data.

He is the Executive Director of the Data Intensive Science programmes at the University of Cambridge including the CDT in Data Intensive Science, the MPhil in Data Intensive Science, the and Director of the Infosys Cambridge Enterprise AI Centre. The Data Intensive Science group operates at the interface of physics and artificial intelligence, focusing on areas where AI has the potential to fundamentally transform the way science is conducted. Key research themes include AI for simulations, using physics to deepen our understanding of AI, employing AI to explore equations, advancing AI interpretability and error quantification, and developing agentic automation for scientific discovery.

James frequently delivers talks and workshops on the application of AI in science and business, and his work has been featured in the Financial Times. Before entering academia, he worked as a consultant designing and implementing supply chain optimisation systems across sectors in North America, Europe, and Australasia.