Modelled searches
Matched-filter and machine-learning based searches for compact binary mergers.
Papers: Optimised PyCBC IMBH search · Higher-harmonics IMBH search · THAMES transfer learning · CNN detection significance
I work on the gravitational-wave astrophysics of compact binary mergers, from finding the signals to what they tell us about gravity and the Universe.
Matched-filter and machine-learning based searches for compact binary mergers.
Papers: Optimised PyCBC IMBH search · Higher-harmonics IMBH search · THAMES transfer learning · CNN detection significance
Modelling the post-merger signal of binary black holes: calibrating analytic ringdown templates for effective-one-body waveforms against numerical relativity, and black hole spectroscopy.
Parameterised tests of gravity in the strong-field regime and hierarchical tests of GR.
Papers: GWTC-4.0 mixture-model tests · GW250114 multipronged analysis · Theory-agnostic parametrised model
Science case and network design for Cosmic Explorer, the Einstein Telescope and LIGO-India: detection rates, sky localisation, and what a continuous background of mergers means for analysis. I am the lead maintainer of gwforge, a package for building mock data.
Papers: LIGO-India in the XG era · Foreground signals in XG inference · Neutron-star radii with XG detectors · gwforge
Measuring what the signals encode: source properties, remnant properties, individual events, and population-level cosmological and astrophysical inference built on fast likelihoods and careful statistics.
Papers: Black-hole recoil from higher-order modes · GW230529 origins and remnant · Eccentricity in disguise? GW231123 · Systematics in dark-siren cosmology
Full list on INSPIRE.