Richard Walters

Richard is Lead Research Data Scientist in the Defence AI Research Centre (DARe), leading and supervising research in the Edge AI and Synthetic Data themes. He focuses on the application and development of cutting-edge data science and deep-learning techniques to solve real-world high-impact problems, and he has research interests in detection, classification, optimisation and modelling problems, deployment and development of AI methods for hardware-constrained environments, and distributed and autonomous systems.

Richard has over 13 years’ experience in academia. His research background is in remote sensing and geophysics, focussing on satellite and airborne systems, modelling of complex real-world systems from multi-modal datasets, and detection and extraction of small hidden signals from large noisy datasets using a variety of methods, including deep-learning and statistical approaches. 

Before joining the Turing, Richard completed his PhD at the University of Oxford and a PostDoc at the University of Leeds, was Associate Professor at Durham University, and Visiting Lecturer at UCL. He has also worked as a Data Analytics consultant, as a science correspondent for The Times, and has acted in an advisory capacity to multiple space agencies. His research has won several awards, including from the Royal Astronomical Society, Lloyd’s of London and the American Geophysical Union.