Bio
Nathan is a Research Software Engineer at the Alan Turing Institute. Prior to this, he completed a PhD at Lund University and CERN, where he explored the intersection of differentiable programming, particle physics, and end-to-end machine learning.
At the Turing, Nathan works on:
- Open-source software for research (particularly the JAX ecosystem of tools) - Applications of rough path theory to natural language processing - Differentiable workflows in particle physics - Outreach projects concerning machine learning When he's not involved in research, Nathan also leads the P2Lab project, which applies genetic algorithms to team optimisation in competitive Pokémon battles — something conceived at the annual Research Engineering hack week 2023.