Jason McEwen is a Professor of Astrostatistics at the Mullard Space Science Laboratory (MSSL) at University College London (UCL). He completed a PhD at the University of Cambridge and since held a Junior Research Fellowship at Clare College, Cambridge, a Leverhulme Early Career Fellowship, and a Royal Society Newton Fellowship, before taking up a faculty position at UCL. He is Director of Research (Astrophysics) of the UCL Centre for Doctoral Training (CDT) in Data Intensive Science (DIS) and is involved in numerous astrophysical experiments, including Planck, Euclid, Rubin-LSST and the SKA. As part of the Planck team he won the Gruber Prize in Cosmology in 2018 for his contributions to fundamental advances in our understanding of the Universe. He is also the Founder of Kagenova, a startup company specialising in deep tech for virtual and augmented reality.
Jason has broad multi-disciplinary research interests in applied mathematics, statistics, machine learning, and astrophysics. In particular, his interests include Bayesian inference, uncertainty quantification, computational harmonic analysis, optimisation, scientific computing, machine learning, geometric deep learning, and interpretability.