Research

I am a gravitational-wave astrophysicist working data analysis for the LIGO, Virgo, and KAGRA detectors.

My primary focus is detecting and characterizing transient features in detector data using minimal assumptions on the source or morphology of the signal.  I develop and maintain BayesWave, which uses a transdimensional Markov Chain Monte Carlo to jointly characterize detector noise and generic gravitational-wave signals.

I currently serve as co-chair for the LIGO-Virgo-KAGRA Burst Working Group, which is one of the four working groups in the LVK Observational Science Division and focuses on finding novel gravitational wave sources.

I have also worked on searches for long-lasting gravitational waves from rotating neutron stars. This search uses a Hidden Markov Model and the Viterbi algorithm to quickly and efficiently find long-lasting gravitational waves.

Outside of gravitational waves, I am interested in pulsar glitch statistics, and how we can use pulsar glitches to learn about the interior of neutron stars.

I also have broad interest Bayesian model selection and parameter estimation with a strong emphasis on transdimensional Markov chain Monte Carlo methods.

My full list of publications can be found on Google Scholar.