Summary
Gregory Ashton is an Associate Professor and leading expert in gravitational-wave inference with 12 years of research experience translating black hole and neutron star mergers into physical insights. He co-chairs the OzGrav Inference Program and the 100+ member LIGO parameter-estimation group, overseeing characterization of every observed merger and contributing substantially to LIGO science. As lead developer of the Bilby Bayesian inference library, he organized a 25-person international team to make Bilby the LIGO collaborations’ primary analysis workhorse since 2020 and drove its use in every major recent event. His work spans algorithm development (including GPU-enhanced stochastic samplers) and production-scale software for petaFLOP searches, reflected in 24 peer-reviewed papers with 13 first-author publications and an ADS h-index of 11. Based in Waverley, England, he blends deep theoretical astrophysics with pragmatic, reproducible software engineering and has mentored PhD and undergraduate researchers across several institutions. An often-overlooked strength is his ability to move tools from prototype to production in large international collaborations, ensuring research impact at scale.
12 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Astrophysics, Doctor of Philosophy - PhD, Astrophysics at University of Southampton
Ferndown upper school sixth form