High-dimensional uncertainty quantification with sparsity-promoting priors and application to radio interferometric imaging

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.