Scientific machine learning in astrophysics: machine learning for physics; physics for machine learning


Date
Oct 2023
Event
Rubin Observatory Legacy Survey of Space and Time (LSST), Informatics and Statistical Science Collaboration (ISSC) Seminar
Location
Remote
US
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Jason McEwen
Professor of Astrostatistics

My research interests encompass astroinformatics and astrostatistics, including Bayesian inference, harmonic analysis, optimisation, computational techniques, and machine learning and artificial intelligence, with a focus on application to cosmology and radio interferometry.