ATLAS Experiment © 2022 CERN

Particle Physics

During my PhD. I was a member of the ATLAS experiment, as well as the MCnet theory collaboration. I spent a great deal of that time developing tools to interpret collider experiment results in the contexts of new hypothesised theories

The resulting software project, Contur, is still actively developed. My thesis detailing a lot of this work can be found via the UCL library here.

Current interests in this field

  • How we perform calculations of theoretical expectations for the LHC. This ongoing program has initial progress documented here

  • How Bayesian model selection can play a role in parametric modelling of particle physics backgrounds. This work in progress aims to bring a new take on parametric model fitting to the particle physics context.

  • Can we use SoTA Bayesian inference techniques to rethink how we perform field theory calculations on the lattice?

If you are interested in discussing any of these topics please get in contact!

David Yallup
Research Associate

I am a researcher in Bayesian Machine Learning, specialising in applications in fundamental physics.