Passionate about leveraging data to drive positive change, particularly in tech-for-good sectors such as democracy, AI safety, energy, and environmental sciences. Specialized in scalable sampling, variational methods, and generative modelling. Pioneered the first algorithm for efficient Approximate Manifold Sampling and contributed to the development of Integrator Snippets, with a focus on Simulator-Based Inference (SBI)
In the past, I have organised:
PhD in Computational Statistics and Data Science, 2020-2023
University of Bristol
MRes in Computational Statistics and Data Science, 2020
University of Bristol
BSc in Mathematics with Year in Employment, 2019
University of Southampton
LDA & Sentiment Analysis on YouTube comments.
A study on the lifetime risk of maternal mortality.
Real-time Data Visualization via the Spotify API.
Tutorials, courses and various other rambling.
Selected talks during my PhD.