Daniel Kelshaw
Machine Learning // Differential Geometry // Physics
Hello! I am currently a PhD student at Imperial College London. My research lies at the intersection of machine learning, physics, and differential geometry; ultimately, aiming to exploit low-dimensional representations of high-dimensional physical systems. This work opens opportunities for reduced-order modelling, solutions to partial differential equations, and forecasting of chaotic systems.
Previously, I held machine learning research intern positions at: NASA JPL, ESA, MindFoundry, Dyson, and BAE Systems.