Bayesian model comparison with data-driven priors: learned proximal nested sampling


Date
Feb 2025
Event
Recent Advances in Learned Regularisation workshop, Mathematics for Deep Learning (M4DL)
Location
UCL
London, UK
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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.