About me

I studied Natural Sciences at the University of Cambridge from 2023 to 2026, obtaining a double First and the Holgate-Pollard Prize for placing 2nd in my cohort. I also received the J.M. Thoday Prize for the best undergraduate research project in genetics.

I immensely enjoy solving problems, and reached the finals for selecting the United Kingdom's teams for the International Chemistry Olympiad and International Astronomy and Astrophysics Olympiad; I also received distinctions/top golds in the British Mathematical and Physics Olympiads, and the Freeman Dyson Prize in Physics. My team and I also won the National Cipher Challenge in 2022.

Beyond my work, I am an active chamber musician and enjoy tennis and distance running. CV

Research

Spontaneous neuronal activation · 2026–present

Lois group, Caltech

Computational modelling of spontaneous neuronal activity and its role in the restoration of learned behaviours following perturbation. Drawing on attractor network theory and Hebbian plasticity. Part of the Cambridge–Caltech exchange, funded by Caltech and St Catharine's College, Cambridge.

Spontaneous neuronal activation · 2026–present

Viral ancestral recombination graphs · 2025–present

Department of Genetics, University of Cambridge

Scalable inference of ancestral recombination graphs for viral DNA, using Markov Chain Monte Carlo and perturbation theory. Awarded the J.M. Thoday Prize for the best undergraduate research project.

Viral ancestral recombination graphs · 2025–present

Deep learning for genome organisation · 2025–present

Hannon Group, Cancer Research UK Cambridge Institute

Deep learning for predicting three-dimensional chromatin organisation from sequencing data, in the laboratory of Greg Hannon. Work focused on learning sequence determinants of topologically associating domains and compartment structure. Publication in preparation.

Deep learning for genome organisation · 2025–present

Lock-in risk benchmark for LLM systems · 2025

Supervised Program for Alignment Research

Paper under review.

Lock-in risk benchmark for LLM systems · 2025

Structural biology of transcription · 2024

Department Cramer, Max Planck Institute for Multidisciplinary Sciences, Göttingen

Studied +1 nucleosome promoter-proximal pausing in eukaryotic transcription. Independently designed biochemical assays, and developed skills in cryo-electron microscopy. Funded by the Max Planck Institute for Multidisciplinary Sciences.

Structural biology of transcription · 2024

Hidden Markov Models for fast protein kinetics · 2023

Haran Group, Weizmann Institute of Science

Inference of conformational state sequences from single-molecule FRET data using hidden Markov models. Work addressed the challenge of fast dynamics on timescales shorter than photon-arrival intervals. Funded by the Weizmann UK Foundation.

Hidden Markov Models for fast protein kinetics · 2023

Projects

todo

Built in Rust: control your todo list. Used to learn Rust.

Cross-lingual interpretability

Oxford AI Safety Initiative, 2026

Using LoRA finetuning to understand generalisation across languages in open-source LLMs.

Multi-agent AlphaZero

Implementation of the multi-agent AlphaZero architecture, trained using JAX on GPUs.

Books and music

I am currently reading: Das Glasperlenspiel (Hesse), Incomplete Nature (Deacon), Who we are and how we got here (Reich), and Embodiment and the Inner Life (Shanahan).

My next piano recital is in October.