My research background is in theoretical physics and chemistry. I have a master’s in theoretical physics from UCL, and spent a university internship researching theoretical chemistry at the Faraday Institution.
I’m a co-author of the two preprints below. Both are currently under review for publication.
Preprint · October 2026
A roundtable on using Markov state models to interpret molecular dynamics simulations. Researchers offer distinct perspectives on best practices, limitations and extensions of the framework, rather than a single consensus view.
Preprint · July 2026
An investigation of how bias potentials affect molecular transition kinetics in Markov networks. The work compares biases designed for global relaxation with those targeting a specific transition, and examines how acceleration changes reaction pathways.
Unpublished research · July 2021
A stochastic kinetic network model of COVID-19 spread, calibrated to UK government data and incorporating different types of social contact. Simulations explored lockdowns, school closures, masks and vaccination, finding reduced transmission and, in some modelled scenarios, elimination of infection within the network.
Papers and posters available upon request.
Unpublished research
Research from my internship at the Faraday Institution.
DFT calculations and cluster expansion were used to study mixed iron–nickel Li2MOS antiperovskite cathodes. The results suggest that mixing entropy can stabilise nickel-rich compositions, potentially combining improved stability with higher voltage. The voltage benefit remains to be verified through further modelling and experiments.
Papers and posters available upon request.
UCL
Faraday Institution