Summary
Thomas Mullen is a PhD neuroscientist with an MPhys in Physics and eight years’ experience applying data science to real-world problems across government, startups, and academia. Based at the Champalimaud Centre in Lisbon, he builds scalable, auto-differentiable dynamical models to probe how neural control signals generate movement, using linear and nonlinear compression and probabilistic inference on large behavioural datasets. His background in physics enables rigorous system-identification approaches, while his prior roles at the UK Department for Transport and a vehicle-data startup sharpened his production-grade data engineering and statistical skills. As a Zenith Marie Skłodowska-Curie Fellow he thrives in international, cross-lab collaborations and communicates complex ideas through seminars, outreach, and mentoring. Notably, he combines cluster-scale software development with hands-on model approximation techniques—bridging theory, computation, and experiment to tackle unresolved questions in motor control.
8 years of coding experience
2 years of employment as a software developer
Master of Physics - MPhys, Physics, First Class (Hons), Master of Physics - MPhys, Physics, First Class (Hons) at The University of Manchester
Doctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at ITQB-UNL
Physics, Maths, Further Maths, Physics, Maths, Further Maths at Mill Hill County HIgh School