My research falls into an emerging and growing cross-disciplinary field called astrostatistics. Astrostatistics is at the interface of astronomy and statistics; it includes the application of modern statistical tools to astronomy research, and also involves developing new statistical tools for astronomy which may be useful to other disciplines too. You can see a list of publications on Google Scholar and ADS.
My research interests in astronomy cover astrophysical objects and phenomena at many scales. As founder and co-lead of the Astrostatistics Research Team (ART) at the University of Toronto, I study the Milky Way Galaxy, globular clusters, ultra-diffuse galaxies, Fast Radio Bursts (CHIME/FRB collaboration) and more recently, asteroseismology, RR Lyrae stars, and stellar flares in M-dwarf stars.
On the statistics side, I am interested in hierarchical Bayesian inference, adaptive and novel MCMC methods, probability distributions, generalized linear models, spatial statistics, and time series analysis including methods such as the Thomson multitaper estimator and Hidden Markov Models.