Experience

 
 
 
 
 

Assistant Professor

Xi’an Jiaotong-Liverpool University (XJTLU)

Feb 2023 – Present Suzhou
 
 
 
 
 

Associate Professor

Nanjing Normal University

Aug 2018 – Dec 2022 Nanjing
 
 
 
 
 

Post-doctoral researcher

Monash University

Aug 2015 – Aug 2018 Melbourne
Particle theory group lead by Prof Csaba Balazs
 
 
 
 
 

Post-doctoral researcher

KBFI

Jan 2014 – Aug 2015 Tallinn
Particle theory group lead by Prof Martti Raidal
 
 
 
 
 

PhD student

Sheffield University

Sep 2009 – Sep 2013
Supervised by Prof Leszek Roszkowski

Latest preprints

Recent & Upcoming Talks

We all want to build fundamental theories and test them against experimental data. Testing our theories is made challenging, however, …

We all want to build fundamental theories and test them against experimental data. Testing our theories is made challenging, however, …

I will discuss the Bayes factor surface - a new way to present results of searches for new physics. I will begin by explaining my …

We explore the origins of parameters in adimensional theories – fundamental theories with no classical massive scales. If the …

We explore the origins of parameters in adimensional theories – fundamental theories with no classical massive scales. If the …

Gravitational waves have now emerged as an important experimental test of first-order phase transitions in the early Universe and we …

Finding new physics means correctly distinguishing signal from noise in LHC searches. What can go wrong and what research practices …

We explore the origins of parameters in adimensional theories — fundamental theories with no classical massive scales. If the …

We open up nested sampling (NS) to new applications by viewing NS as a general algorithm for tackling compression. We demonstrate this …

We explore the origins of parameters in adimensional theories – fundamental theories with no classical massive scales. If the …

Projects

Bayes factors

Anomalies in high-energy physics with Bayes factors

BayesFits (2009 - 2013)

Fits of SUSY models, such as the CMSSM, in light of LHC data.

Fine-tuning and naturalness

Fine-tuning in physics with Bayesian statistics

GAMBIT

I am a member of GAMBIT - The Global And Modular BSM Inference Tool - lead by Dr. Pat Scott.

Uncertainty in the Dark Matter Velocity Profile

Using Quantified Maximum Entropy to model uncertainty in the dark matter velocity profile.

Outreach & Teaching

  • I teach first-year calculus, MTH029 (2023)
  • I teach the foundations of classical physics, PHY002 (2023 & 2024)
  • I taught a post-graduate course in Physics beyond the Standard Model (2020 - 2022)
  • I supervised Master’s students at NJNU
  • I gave a talk about the LHC to high-school children from Melbourne
  • I have answered hundreds of questions at Physics Stack Exchange
  • I cosupervised a PhD student at Monash University, Giancarlo Pozzo
  • I supervised Michael Bardsley’s summer research project, resulting in a publication
  • I taught a post-graduate statistics course for physicists at Tartu University