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Jason McEwen

Professor of Astrostatistics

University College London

Biography

I am a Professor within the Mullard Space Science Laboratory (MSSL) at University College London (UCL) and lead the Scientific AI (SciAI) research team.

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 but am also interested in problems in seismology, climate, medical imaging, and computer vision.

I am Founder and CEO of Copernic AI, a startup company developing geometric generative AI techniques. Try out the latest generative AI!

I also offer AI training and consulting services through Neural Learning.

I am Director of Research (Astrophysics) of UCL’s Centre for Doctoral Training (CDT) in Data Intensive Science. I am a Core Team member of the ESA Planck satellite mission, a member of the Square Kilometre Array (SKA) Science Data Processor (SDP) working group, a member of the ESA Euclid satellite Science Consortium, and a member of the Large Synoptic Survey Telescope (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 AI
  • Physics-enhanced AI
  • Geometric AI
  • Statistical AI
  • Generative AI
  • Astrostatistics
  • Astroinformatics
  • Bayesian Inference
  • Harmonic Analysis
  • Optimisation
  • Scientific Computing

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