I'm a postdoctoral researcher in probabilistic machine learning at the Kavli Institute for Cosmology, University of Cambridge, and a Research Scientist at PolyChord Ltd. I'm a member of Will Handley's research group, and a College Research Associate at Corpus Christi College, Cambridge. My work focuses on GPU-accelerated Bayesian inference and generative AI for the physical sciences, leading development of open-source JAX libraries used across academia and industry. I completed my PhD at UCL on the ATLAS experiment at CERN.
Research
MCMC · Nested Sampling · GPU-Accelerated Inference · Generative AI for Science
Current topics:
- Cosmology and gravitational wave inference
- Flow matching and diffusion models for scientific inference
- MCMC methods, with a focus on scalable GPU inference tools
- Particle Monte Carlo, nested sampling, and sequential Monte Carlo
Most of my work is built in JAX, with contributions to BlackJAX and other inference libraries.
I’m always happy to discuss these topics or potential collaboration — please get in touch.
Recent Publications
Listed above are highlight first-author level publications. I was a member of the ATLAS Collaboration at CERN during my PhD — for a full list of all co-authored papers see Google Scholar.