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We develop statistical and computational methods for cosmology, gravitational waves, and time-domain astrophysics, with a focus on Bayesian inference, scalable GPU workflows, and robust scientific software.

GPUs for Science

GPU hardware — developed for machine learning — accelerates classical statistical methods by 100–1000× for rigorous astrophysics. These speedups enable systematic Bayesian model comparison at scales that were previously intractable.

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Methodology

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Scientific Software

Source Talks