High-dimensional uncertainty quantification with deep data-driven priors
Date
Dec 2025
Event
44th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2025)
Location
University of Auckland
Auckland, New Zealand
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.