Experience

 
 
 
 
 

Associate Professor

Nanjing Normal University

Jan 2018 – Present Nanjing
 
 
 
 
 

Post-doctoral researcher

Monash University

Aug 2015 – Jan 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

I review Bayesian and frequentist methods, including their philosophies and subjective and objective aspects, and provide examples of …

We propose a novel method for computing $p$-values based on nested sampling (NS). The computational cost of NS scales as $\log^2 1/p$, …

The statistical models used to derive the results of experimental analyses are of incredible scientific value and are essential …

We propose a novel method for computing $p$-values based on nested sampling (NS) applied to the sampling space rather than the …

We propose a novel method for computing $p$-values based on nested sampling (NS) applied to the sampling space rather than the …

The starting point for a statistically sound reinterpretation of an experimental result is the likelihood function, which encodes the …

The excess of electron recoil events seen by the XENON1T experiment has been interpreted as a potential signal of axion-like particles …

Nested sampling (NS) is an invaluable tool in data analysis in modern astrophysics, cosmology, gravitational wave astronomy and …

Nested sampling (NS) is an invaluable tool in data analysis in modern astrophysics, cosmology, gravitational wave astronomy and …

Nested sampling (NS) is an invaluable tool in data analysis in modern astrophysics, cosmology, gravitational wave astronomy and …

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 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 statistics course at Tartu University