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Jason McEwen

Professor of Astrostatistics

University College London

Biography

I am a Professor within the Department of Space and Climate Physics at the Mullard Space Science Laboratory (MSSL) of University College London (UCL) and lead the Scientific AI (SciAI) research team. I am also Mission Director for Fundamental Research in AI for Physical Systems at the Alan Turing Institute, the UK’s national institute for data science and AI.

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’m interested in a wide variety of scientific problems across many fields, including astrophysics, climate, seismology, medical imaging, computer vision and beyond.

I am Co-Director of UCL’s Centre for Doctoral Training (CDT) in Data Intensive Science and Director of Research of the associated Centre for Data Intensive Science and Industry (DISI). I was a Core Team member of the ESA Planck satellite mission and a member of the Square Kilometre Array (SKA) Science Data Processor (SDP) working group. I am currently a member of the ESA Euclid satellite Science Consortium and the Rubin Observatory Legacy Survey of Space and Time (LSST) Dark Energy Science Collaboration (DESC) and Informatics and Statistics Science Collaboration (ISSC).

Previously I was a Royal Society Newton Fellow and before that a Leverhulme Early Career Fellow at UCL. Prior to that I was a Scientist at Ecole Polytechnique Federale de Lausanne (EPFL) and a Research Fellow of Clare College, Cambridge, after receiving a PhD from the University of Cambridge.

Interests

  • Scientific, Physics-Enhanced, Geometric, Statistical & Generative AI
  • Bayesian Inference
  • Harmonic Analysis
  • Optimisation
  • Scientific Computing
  • Astrostatistics & Astroinformatics
  • Cosmology

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