Jason McEwen

Professor of Astrostatistics

University College London


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, primarily cosmology, 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 founding Director of Research of UCL’s Centre for Data Intensive Science and Industry (DISI) and associated Centre for Doctoral Training (CDT). 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.


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