Hi! I’m Alex, a Machine Learning PhD student at Cambridge and this is my website.
If for some reason you’re interested in who I am or what I do then you’ve come to the right place.
You can find links below to my profiles on relevent professional platforms (and importantly Strava) as well as some summaries of my previous works and interests. If I have the time, I also plan to write some more generally accessible explanations of my research in a series of blog-posts, which will be updated sporadically. At the end of the day though, this website is just a personal project for me to advertise myself and potentially use to practice some front-end work, so if you can’t find something feel free to get in contact through one of the many ways available in the modern world - including this form.
First place in the Hex Cambridge hackathon Optiver Challenge out of about 40 teams. Developed an algorithmic trading strategy for market making a dual listed product.
Two papers accepted to ICLR! Scalable Bayesian Inverse Reinforcement Learning and Generative Time-series Modeling with Fourier Flows.
Graduated the MPhil in Machine Leaning and Machine Intelligence and started a PhD in Machine Learning for Healthcare at the University of Cambridge.
My first ever paper accepted to ICML: Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift.