Wes Armour

Professor Wes Armour is a Professor of Scientific Computing at the University of Oxford, affiliated with the Engineering Science Department. His research spans Data Science, Scientific Computing, GPU Computing, Signal Processing, Modelling and Simulation, and High Performance Computing. He is the Associate Head of Department for Research and was previously the Director of the Oxford e-Research Centre. His work includes the development of JADE and JADE2, a 700-GPU machine dedicated to advancing Artificial Intelligence and Machine Learning in the UK. He has secured over £31M in funding for projects involving supercomputing, signal processing, and machine learning. His research focuses on extracting science from data through modeling, simulation, and data processing, with applications in radio astronomy, protein crystallography, and beyond.

Wes Armour is a Professor of Scientific Computing at the University of Oxford, specializing in GPU computing, Numerical Analysis, Signal Processing, and Data Science. His research focuses on optimizing computational methods for scientific applications, particularly in the areas of real-time signal processing, data analysis, and high-performance computing. He has contributed to projects involving fast radio bursts, pulsar searches, and GPU-based algorithms for transient detection. His work includes developing efficient numerical techniques for Monte Carlo simulations and improving energy efficiency in GPU computations for real-time edge computing. His research bridges theoretical and applied computing, with applications in astrophysics, particle physics, and signal processing.