CV

Education

DPhil in Engineering Science — University of Oxford
2024 – 2027 (expected)

• Doctoral research split between the Machine Learning Research Group and the Quantum Device Lab, supervised by Prof. Maike A. Osborne (formerly publishing as Michael A. Osborne) and Prof. Natalia Ares.
• Thesis: Bayesian Perspectives on Machine Learning for Quantum Device Control.
• Concurrent research on amortised Bayesian inference for filtering and sequential applications, kernel and feature-learning theory in wide neural networks, and Gaussian process methods.

MEng Engineering Science — University of Oxford
2020 – 2024

• First-Class Honours. Ranked 3rd of 141 overall; 2nd of 176 in Part A; 1st in the Master’s-year module Robust Optimisation and Control Theory.
• Specialised in machine learning, optimisation, stochastic control, and mathematical methods.

Quantitative Research Experience

Incoming Quantitative Research Intern — Jump Trading
September – December 2026

Incoming Quantitative Research Intern, Fixed Income & Macro — Citadel
June – September 2026

Quantitative Research Intern — Point72
June – October 2025

• Conducted systematic alpha research on hedge-fund positioning flows and regime identification across the US and European long/short equities universe, on a 15-week internship within a systematic equities pod.
• Built high-Sharpe statistical-arbitrage signals explicitly constructed to be uncorrelated with — and additive during drawdowns of — existing book signals, improving portfolio risk-adjusted returns.

Quantitative Research Intern — Gresham Investment Management (Gresham Quant)
June – September 2023

• Redesigned the portfolio-optimisation engine to enable liquidity-aware daily rebalancing, improving risk-adjusted returns while also reducing trading costs in capacity-constrained markets and per-step backtest runtime by ~80%.
• Conducted alpha research on systematic futures-roll execution, incorporating discretionary trader insight and projected to result in at-risk-target gains of ~$12M/year.

Quantitative Portfolio Manager → Head of Research — Oxford Alpha Fund
January 2024 – December 2025

• Student-run multi-strategy fund: led a 5-person research team applying Bayesian quadrature to robust systematic strategy-ensemble construction, and deployed the resulting allocator to the fund’s live multi-strategy book.
• Subsequently, as Head of Research (Executive Committee), oversaw all quantitative projects and delivered the bootcamp lecture series on portfolio optimisation and machine learning.

Other Professional Experience

Retainer-Fee Lecturer in Engineering Science — Somerville College, University of Oxford
October 2024 – present

• Competitively appointed teaching post — a junior academic faculty position — delivering undergraduate tutorials in probability & statistics, stochastic processes, control theory, communications theory, and electronics.
• Also run inter-college classes on control theory, communications theory, and computer engineering.

Machine Learning Scientist (Defence) — Mind Foundry
August 2024 – present

• Developed transformer-based online Bayesian filtering for real-time sensor fusion; this work fed directly into the first-authored ICML 2026 spotlight on amortised Bayesian inference (Distribution Transformers).
• Part-time alongside my DPhil; currently extending the method to multi-target sensor-fusion and tracking problems.
• Earlier work during a full-time internship on high-dimensional non-convex multi-objective optimisation for sensor and resource allocation.

Optimisation Consultant — Lexington Medical
February 2024 – April 2025

• Designed and shipped production optimisation software combining probabilistic demand forecasting with end-to-end optimisation of a global finished-goods-to-3PL inventory and shipping network.

Technical Skills

• Programming: Python (12+ years), C++, MATLAB, SQL; object-oriented design, design patterns, Git, productionised software.
• Quant methods: systematic alpha research, statistical arbitrage, portfolio optimisation & signal fusion, backtesting & analytics; convex & non-convex optimisation; stochastic systems & filtering.
• ML & numerics: PyTorch, NumPy, SciPy, Pandas; Bayesian inference & filtering (amortised / PFN-style, variational, MCMC), Gaussian processes, probabilistic numerics, large neural networks, optimal control.

Honours & Awards

• EPSRC Scholarship, Department of Engineering Science, University of Oxford — full DPhil funding (2024).
• Edgell Sheppee Prize, Department of Engineering Science, University of Oxford — general performance (2024).
• Principal’s & Mary Somerville Prizes, Somerville College — performance in Part C examinations (2024).
• Academic Scholar, Somerville College, University of Oxford (2020 – 24).
• Reserve, British Team, International Physics Olympiad (cancelled) — top 6 nationally (2020).
• Top Gold, UK Physics Olympiad — top 100 nationally (2020).
• Gold, UK Chemistry Olympiad, Cambridge Chemistry Challenge & seven consecutive UKMT challenges (2013 – 20).

Leadership & Activities

VP of Sponsors & Events — Oxford University Engineering Society
2023 – 2024

Music — Grade 8 Trumpet; LTCL Piano Diploma (in progress); former First Trumpet at Oxford Millennium Orchestra.