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
Jason McEwen
Professor of Astrostatistics
My research interests encompass a wide range of areas across scientific AI (including physics-enhanced AI, geometric AI, statistical AI, generative AI), astrostatistics, Bayesian inference, harmonic analysis, optimisation, and computational techniques. I focus mostly on scientific problems in astrophysics, primarily cosmology, but am also interested in problems in seismology, climate, medical imaging, and computer vision.