About me
Hi, I’m Michael, a Research Fellow at the Institute of Cosmology & Gravitation at the University of Portsmouth. My main research interest is the intersection between gravitational-wave astrophysics, machine learning and Bayesian statistics. I’m also a member of the LIGO-Virgo-KAGRA Collaboration, where I hold the role of Parameter Estimation co-chair, and I recently joined the LISA Consortium.
I first got involved in gravitational-wave research as an undergraduate intern working with Chris Messenger in the Institute for Gravitational Research at the University of Glasgow. The project involved training a convolutional neural network to detect gravitational-wave signals from binary black hole mergers.
I then did my PhD with John Veitch and Chris Messenger at the Institute for Gravitational research and focused on developing techniques to accelerate Bayesian inference algorithms for characterizing gravitational-wave signals.
Recent highlights
- 2026-07 Accelerated Sequential Posterior Inference via Reuse for Gravitational-Wave Analyses was published in PRL
- 2026-07 Seminar at IGR, University of Glasgow
- 2026-03 LVK Meeting in Pisa
- 2026-02 Seminar at AEI Potsdam
- 2026-01 Invited talk at GWFreeRide