Research Projects

Callum Duffy

Exploring the possible applications of quantum algorithms to the data produced by experiments at the LHC 

Noah Clarke Hall 

Deep learning the shape of the Higgs potential with ATLAS at the LHC 

Max Hart 

Machine learning techniques to improve track reconstruction at the ATLAS experiment at the LHC

Nathan Higginbotham 

Determining the Neutrino Mass from Cyclotron Radiation Emission Spectroscopy 

Paul Nathan

Explainable AI to explore Galaxy Images

Alicja Polanska 

Geometric deep learning on the celestial sphere for cosmology and beyond 

Nikita Pond 

Revolutionising tracking and b-jet identification to explore new regions and understand the fundamental workings of the Universe

Alex Saoulis

Understanding earthquakes and cosmic structure growth

James Ray 

Interpretable Galaxy Imaging from Large Surveys using Supervised & Unsupervised Machine Learning

Tara Tahseen 

Using deep learning to model complex chemistries of exoplanet atmospheres 

Antonia Vojtekova

Exploring exoplanetary atmospheres with a combination of machine learning

Jackson Barr

Improvement of b-tagging in the ATLAS experiment

Ross Dobson

Unveiling the exoplanet population with novel data science techniques

Philippa Duckett

Applying machine learning techniques to improve the tracking and identification of b-jets in the ATLAS detector at the LHC

Elizabeth Guest

Machine learning of pressure dependence of molecular line profiles for Exoplanets

Thandikire Madula

Using machine learning for Higgs to 4b analyses

Prabh Bhambra 

Using AI to explain astronomy

Marin Mlinarevic 

Search for non-resonant pair production of Higgs bosons in the 4b final state in pp collisions with the ATLAS detector 

Patricio Reller Garcia 

Data-intensive and high-performance computing applied in a multidisciplinary research stage

Arianna Saba 

From Space to Ground: Characterising Exoplanet Atmospheres at Low and High Spectral Resolutions

 Federico Speranza 

A Bayesian parameter estimation framework to study galaxy formation and evolution across the Universe

Andrius Vaitkus 

Decorrelating the mass variable from the X->bb tagger using adversarial neural networks and optimising CPU timing of particle tracking in ATLAS Inner Detector

Yuwen Zhang

Search for di-Higgs production through HH->bbbb decay

I Cheng (Matthew) 

AI-Assisted Detection and Plasma Processes of Saturn's Magnetospheric Boundaries

Graham Van Goffrier

Improved Nuclear Matrix Elements for Neutrinoless Double-Beta Decay 

Nisha Lad

Graph Neural Networks for fast track finding in LHC data

Nikolay Walters 

Active chromospheres in white dwarfs

Samuel Wright

Non-LTE Molecular Spectroscopy for Exoplanet Atmospheres