Passionate about leveraging data to drive positive change, particularly in tech-for-good sectors such as energy, environmental sciences, and healthcare. Specilized in scalable sampling, variational methods, and generative modelling. Pioneered the first algorithm for efficient Approximate Manifold Sampling and contributed to the development of Markov 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.
Real-time Data Visualization via the Spotify API.
Tutorials, courses and various other rambling.
Selected talks during my PhD.