PhD — Nokia Bell Labs & University of Cambridge, Jesus College (Sep 2022 – present). The Physics of Machine Learning on Oscillator Ising Machines.
MMathPhys, Master of Mathematical and Theoretical Physics — University of Oxford, Lincoln College (2018 – 2022). Distinction.
BA, Physics — University of Oxford, Lincoln College. First Class, ranked 1st in a cohort of ~200 in second-year examinations.

Nokia Bell Labs & University of Cambridge — PhD Researcher, Math & Algorithms Group and Theoretical Condensed Matter Group (Sep 2022 – present). Equilibrium Propagation and energy-based machine learning: GradEP and FlowEqProp (Best Paper, ICONS '26), EP training of Oscillator Ising Machines now moving to hardware with Nokia and TU Eindhoven, and glassy dynamics on rugged energy landscapes.
Alan Turing Institute & UK Ministry of Justice — Machine Learning Technical Project Lead (Aug 2025 – present). Short-horizon violence risk forecasting with gradient-boosted and interpretable models over 20M+ records, plus LLM pipelines for incident categorisation and case-note surfacing.
MARS Alignment Research Programme, Cambridge AI Safety Hub — Research Fellow (Dec 2024 – May 2025). Evaluated frontier LLM abilities in model compression, mechanistic interpretability, and feature steering.
Quantum Matter in High Magnetic Fields Group, University of Oxford — Research Assistant (Jun 2021 – Aug 2022). Co-authored two Physical Review B papers on multi-band superconductivity and impurity effects in FeSe.
ISIS Neutronics Group, STFC — Nuclear Analysis Summer Student (2020). Enhanced the FETCH2 radiation modelling codebase.

Supervised a Master's dissertation project on saddles-to-minima topological crossovers in kinetically constrained Ising models.
Supervised undergraduate Statistical Mechanics and Mathematical Methods classes at Cambridge for three years.

Best Paper Award, ICONS '26 — FlowEqProp: Training Flow Matching Generative Models with Gradient Equilibrium Propagation.

For the full publication list see the publications page.