Alex Marshall

Alex’s role is to apply machine learning and data science techniques to solve problems and enhance Fathom’s modeling chain. That can involve applying existing techniques to new domains or developing new ideas himself. He focuses on scientifically rigorous validation and writing robust software for the most accurate and trustworthy results.

Alex did a Masters in Physics at Bristol University, followed by a particle physics PhD and a series of post-docs at Imperial College London and Bristol. He has published multiple papers in particle physics from measurements of physical quantities to machine learning method papers.

Before joining Fathom, he was a post-doctoral researcher at the University of Bristol working on the LHCb Experiment at the Large Hadron Collider at CERN. There he was working both on physics analyses, measuring the properties of rare decays of beauty mesons and on machine-learning-based fast simulations. He brings to Fathom a long list of skills and experience including software engineering, problem solving, critical thinking, numerical skills and applying machine learning techniques to physical problems.

Alex was attracted to the role at Fathom by its combination of real-world impact and scientific focus, and the opportunity to explore novel machine learning techniques and apply them to the domain of flood modeling.

Outside of work, Alex enjoys long-distance running, cooking, hiking and playing “a very poor standard of cricket”.