Will Handley

Will Handley

Royal Society University Research Fellow

University of Cambridge

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I am a Royal Society URF at the University of Cambridge, and CTO of PolyChord Ltd. I lead a group of researchers developing Bayesian and machine learning algorithms, who when apply these to fuse data from accelerators, satellites and terrestrial sensors to understand the properties and fundamental physics of our universe. Within PolyChord Ltd these techniques are spun out into commercial applications in the defence, telecommunications & pharmaceutical sectors. Over the past two years I have worked on a succession of projects with DSTL developing the MIDAS system for maximum information data acquisition strategies.

Interests

  • Bayesian inference
  • Emulators
  • Simulation Based inference
  • Cosmology & Particle Physics

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