Daniel Giles

Senior Research Fellow

University College London

Dr. Dan Giles is a Senior Research Fellow in machine learning for weather and climate science at the Centre for AI in University College London. He acts as a theme lead for UCL’s Met Office Academic Partnership. His research interests focus on the intersection of data-driven approaches, numerical techniques and high-performance computing in the area of ocean and atmospheric sciences. Of particular interest are data assimilation problems and the coupling of machine learning and physics-based solvers. He obtained his PhD at University College Dublin for the development of fast computational methods for tsunami modelling, winning the Bertram Broberg medal for the best PhD thesis in the College of Engineering, Mathematical and Physical Sciences.