Curriculum Vitae
Education
PhD in Applied Mathematics, University of Cambridge
2024–2027
Developing flexible, data-efficient, calibrated generative models with a focus on scientific applications.
MRes in Environmental Data Science, University of Cambridge
2023–2024
MSci in Physics with Theoretical Physics, Imperial College London
2019–2023
Awarded the Ludlam Prize for the best performance in Atmospheric Physics.
Research Experience
Probabilistic Operator Learning for Climate Model Parameterisation
University of Cambridge · April–July 2024
Master’s dissertation project (73%). Developed a novel probabilistic operator-learning framework offering closed-form, principled estimates of predictive uncertainty. Achieved competitive performance on benchmark PDE emulation problems in a low-data regime.
Using Satellite-Observable Variables to Predict Abyssal Ocean Circulation
University of Cambridge · January–April 2024
Group project (77%). Demonstrated that machine-learning models can measure the strength of deep-ocean currents using only satellite-observable variables. Found evidence that these variables predict future changes to deep-ocean currents, with implications for long-term climate science.
Social Dynamics on Higher-Order Networks
Imperial College London · June 2022–present
Master’s dissertation project (78%). Developed a model of social interaction in higher-order networks that includes group effects. Worked with large real-world social-activity datasets to better understand how disinformation spreads through a population, motivating models with sociological literature and implementing them through generalisations of the Ising model.
Skills
- Technical: Python (advanced), R (elementary), Git, Bash, and prior experience with HTML, CSS, JavaScript, and SQL.
- Python: Object-oriented programming; NumPy, SciPy, pandas, Matplotlib, scikit-learn, PyTorch, and netCDF4.
Professional Development
- Conference organiser: AI4ER Symposium, Cambridge (November 2024).
- Summer schools: ICCS Summer School, Cambridge (July 2024); GeMSS Spring School/StatLearn, Antibes (April 2025); ELLIS Summer School, Cambridge (July 2025).