High-dimensional uncertainty quantification with deep data-driven priors
Date
Sep 2025
Event
Machine Intelligence for iNverse imaging, Observation Analysis and Sensing (MINOAS) Workshop
Location
Foundation for Research and Technology – Hellas (FORTH)
Heraklion, Greece
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.