As a competitive swimmer (National medallist, Olympic Trial qualifier), I always looked for ways to improve. I started digging into data to better understand the sport (e.g. how top olympians progress from a young age, what splits you need to hit certain times, etc). Eager to develop these skills further, I studied Information and Computer Engineering at Cambridge, where my masters thesis was on extracting information from noisy observations of physical systems.

Through various internships and trading challenges, I got drawn into finance, where the same idea applies: using data and my quantitative skills to understand how markets really work. I then consolidated my mathematical and financial skills at the El Karoui Master (Probability & Finance @ École Polytechnique & Sorbonne University).

This GitHub covers projects ranging from physics-informed machine learning to algorithmic trading. If you want to talk more about those topics, feel free to reach out at yad22@cantab.ac.uk.