I develop quantum-inspired computing technologies to enable accurate and efficient simulation of turbulent flows at scales which cannot be reached with traditional methods. My current efforts focus on enhancing both the AI and physics-based modelling pipelines that are used for simulating atmospheric flows and predict weather.
My D.Phil. was in Atomic & Laser physics at Keble College, and I currently work with Professors Dieter Jaksch and Michael Kastoryano both here in Oxford (visitor) and in Copenhagen (postdoc). Feel free to get in touch if you think I can be of assitance!
Selected publications
Tensor networks enable the calculation of turbulence probability distributions
Science Advances, Vol 11, Issue 5, 2025
A quantum-inspired approach to exploit turbulence structures
Nature Computational Science Springer Nature 2:2022 (2022) 30-37
Parallel time-dependent variational principle algorithm for matrix product states
PHYSICAL REVIEW B 101:23 (2020) ARTN 235123
Dynamical Regularities of US Equities Opening and Closing Auctions
Market Microstructure and Liquidity World Scientific Pub Co Pte Lt (2019) 1950001-1950001