Research

My research is in gravitational-wave physics, with an emphasis on methods for detecting and interpreting compact-binary signals. A recurring theme is how to preserve the physical structure of the waveform and detector response while making searches and Bayesian inference computationally tractable. Much of my current work is motivated by the long signals, large detector networks, and higher event rates expected in next-generation gravitational-wave observatories.

Fast gravitational-wave inference

Bayesian parameter estimation for compact binaries is computationally expensive, particularly for long-duration signals and large detector networks. I develop methods that reduce the cost of likelihood evaluation while retaining the relevant structure of the waveform and detector response.

Current work includes relative binning, reduced frequency representations, meshfree interpolation, and fast-likelihood methods designed for present and next-generation detectors.

Meshfree likelihood interpolation reproduces the posterior obtained from direct likelihood evaluation.

Long-duration signals and next-generation detectors

Binary neutron-star signals can remain in third-generation detectors for hours. Over these timescales, the rotation of the Earth changes the detector response appreciably and cannot be treated as a small correction.

I am interested in exploiting the resulting sidereal structure rather than treating it simply as an additional numerical complication. This includes fast parameter estimation, sky localization, and the role of future detector networks involving LIGO-India, Einstein Telescope, and Cosmic Explorer.

Fast likelihood evaluation for long-duration signals in third-generation detectors.

Searches and template banks

Matched-filter searches for compact binaries require discrete template banks that cover high-dimensional waveform parameter spaces efficiently.

My work in this area includes stochastic and geometric template placement, methods based on the waveform metric, and the use of low-discrepancy sequences such as Sobol and Halton sequences to improve the efficiency and uniformity of template-bank construction.

Template-bank coverage obtained with random and low-discrepancy proposal sequences.

Tests of general relativity

Gravitational-wave observations provide direct tests of the dynamics of strong-field gravity.

I work on parameterized tests of general relativity using compact-binary signals, including search and inference methods that allow small departures from general-relativistic waveforms while retaining computationally efficient likelihood evaluation.

Search sensitivity to signals with parameterized departures from general relativity.

Neutron-star physics

Binary neutron-star observations constrain tidal interactions and the equation of state of dense nuclear matter.

I am interested in hierarchical inference of neutron-star equation-of-state parameters from populations of binary-neutron-star observations, including how the available information accumulates across events and depends on the underlying source population.

Mass–radius constraints from GW170817. Figure from the LIGO Scientific Collaboration and Virgo Collaboration, Phys. Rev. Lett. 121, 161101 (2018).

Publications

A complete list of publications is available on INSPIRE-HEP.