Summary
David Quigley is a Professor of Physics at the University of Warwick with eight years in senior academic roles and a two-decade trajectory in computational and theoretical physics. He leads a small research group focused on sampling problems in condensed matter, blending statistical physics, machine learning, and advanced atomistic sampling methods to tackle rare events and nascent open-quantum-system simulations. He has steered institutional research computing as Director of Warwick’s Scientific Computing RTP, advocating best-practice HPC, research software engineering and securing funding to elevate computational capability. A seasoned educator, he regularly teaches high-performance computing, non-equilibrium statistical physics and classical mechanics, and his background in developing sampling techniques for crystallization and biomineralisation underpins both his research and training. Colleagues value his ability to translate deep theoretical insight into practical computational tools and to bridge disciplinary boundaries between physics and data-driven methods.
7 years of coding experience
4 years of employment as a software developer
PhD, Physics, PhD, Physics at University of York
English