Research
I explore the Universe through Bayesian inference of massive and multimessenger datasets enabled by machine learning emulation and GPU-acceleration. The coming era of astronomy will be hallmarked by Petabyte-scale datasets from large surveys, observational data spanning the electromagnetic and gravitational-wave spectrums, and unprecedented machine learning and computational capabilities. My work aims to synthesize information across this complex, multimodal, and multimessenger landscape by leveraging cutting-edge technology and principled statistical frameworks.
