I am Andrew Fowlie, a faculty member of theoretical physics at Xi’an Jiaotong-Liverpool University (XJTLU). I work at the interface of physics and data science, and specialize in developing and applying statistical methods to physics beyond the Standard model, including LHC physics and dark matter.
I’ve worked extensively on nested sampling, developing an important diagnostic test for faulty runs and pioneering its application to frequentist statistics, as well as on the foundations of statistics generally and its relevance for searches for new particles.
Please don’t hesitate to contact me to collaborate, for consultancy on statistical issues, or for talks, seminars and media interviews on my work or statistical matters arising in physics.
I’m a member of
PhD in high-energy physics, 2013
Sheffield University
MPhys in Physics, 2009
Durham University
Anomalies in high-energy physics with Bayes factors
Fits of SUSY models, such as the CMSSM, in light of LHC data.
Fine-tuning in physics with Bayesian statistics
I am a member of GAMBIT - The Global And Modular BSM Inference Tool - lead by Dr. Pat Scott.
Using Quantified Maximum Entropy to model uncertainty in the dark matter velocity profile.
Typset copies of unpublished works and links.