(August 2024 - Present) Data Scientist - Ocado Technology

Working on the central team working on cross-functional and agentic AI capabilities. Previously on the automation team improving performance using robotics data.

(June 2022 - August 2024) Data Scientist - BIOStress

First full-time data science hire at an early stage startup, responsible for all the models and data pipeline.

• Developed a novel stress detection algorithm that demonstrated improved accuracy, robustness, and generalisability over the state-of-the-art, leading to a patent submission
• Transformed a manual data processing system into a fully automated end-to-end pipeline, cutting processing time from several hours to less than a minute while ensuring ISO 27001 compliance, leading to a faster turnaround for user dashboards
• Managed a 3-month intern, provided guidance and set projects to develop his skills

(July 2021 - September 2021) Research Intern - Oxehealth

10 week internship at a vision-based medical device company.

• Provided critical business insight by thoroughly analysing literature, developing an module to handle polysomnography data, and training time series classifier models to show a frequently requested product feature was not technically feasible, saving potential development resources
• Improved algorithm evaluation by building PySpark tools to audit large amounts of data leading to a scalable way of identifying misclassifications

(January 2024 - Present) Lead Statistician (volunteer) - Pulmonary Vascular Research Institute, Royal Statistical Society

Leading statistical analysis for the Pulmonary Vascular Research Institute's Global Patient Survey on a voluntary basis on behalf of the Royal Statistical Society.

• Leading quantitative analysis across three manuscripts with academic researchers and non-profit stakeholders
• Designed and implementing a secure data access framework that enables research reusability, ensures patient privacy, and reduces administrative overhead for PVRI

(January 2025 - March 2025) AI Safety Engineer - Frontier AI Evaluation Bounty Program (contract) - Arcadia Impact, AISI

• Developed evaluation to assess autonomous agent capabilities that was added to the UK Government's risk assessment framework for frontier AI models, successfully implementing a previously untested attack vector
• Selected through competitive application for AISI's bounty program, receiving funding for research and development, to design critical safety evaluations and agent scaffolding architectures for testing potentially dangerous AI capabilities

(August 2024 - September 2024) AI Safety Engineer - Inspect Evaluations (project/volunteer) - Arcadia Impact, AISI

• Implemented a multimodal, zero- and multi-shot benchmark (MathVista) into AISI's Inspect Evals framework and evaluated the performance against existing and novel models. Link.
• Invited to return and take part in the Frontier AI Evaluation Bounty Program as a contractor

(2018 - 2022) University of Oxford, Master's in Mathematics (MMath)

Integrated Master's degree in Mathematics.
Areas of focus: Statistics, machine learning and deep learning, computational biology, numerical methods.

Projects:

• Master's thesis: Statistical behaviour of protein folding and Markov modelling
• Master's project: Impact of adversarial training on natural accuracy in CNNs
• Bachelor's thesis: Novel stochastic algorithm for solving overdetermined systems of matracies

(2016 - 2018) King's College London Mathematics School

• A-Levels: Mathematics (A*), Further Mathematics (A*), Physics (A)
• AS-Levels: Computer Science - Python (A), Further Additional Mathematics (A)