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Simran Dave

Project title:ÌýThe Search for Dark Matter with the world-leading LZ Experiment

Dakshesh Kololgi

Connecting Galaxies to Large Scale Structure Environment with Minimum Spanning Trees

Febian Febian

Machine Learning and FPGA optimisation for proton beam therapy Proton therapy

Weibin Chen

Integrated Approach to Summer Sea Ice Analysis and Uncertainty Estimation through AI and Advanced Statistical Techniques

Joseph Egan

Constraining Beyond Standard Model physics by reinterpreting published collider measurements

Jools Clarke

Investigating performance, interpretability & resource efficiency trade-offs of machine learning models for exoplanet data

Edoardo Critelli

Graph Neural Networks for High Energy Physics

Jason Ran

Bayesian Methods for Planet Formation

Elliot Dable

CIRCE Impact PhD studentship. Applying Machine Learning and Data Assimilation for satellite orbit prediction and CubeSat monitoring of Space Weather

Wei Sheng Lai

Advancing b-jet identification tools at the ATLAS experiment to contribute in our understanding of the Universe

Henry Aldridge

Probabilistic Deep Learning for Cosmology and Beyond

Laura Aguilar

Unveiling Atmospheric and Orbital responses to Space Weather phenomena with Machine Learning and Data assimilation for Satellite Orbit prediction and traffic management

Callum Duffy

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

Noah Clarke HallÌý

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

Max HartÌý

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

Nathan HigginbothamÌý

Determining the Neutrino Mass from Cyclotron Radiation Emission SpectroscopyÌý

Paul Nathan

Anomaly Detection in DESI Spectra using Machine-Learning Dimensionality-Reduction Techniques

Alicja PolanskaÌý

Machine learning assisted model comparison with normalizing flow

Nikita PondÌý

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 RayÌý

Exploiting Galaxy Images with Deep Learning and Explainable AI

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Tara TahseenÌý

Using deep learning to model complex chemistries of exoplanet atmospheresÌý

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Antonia Vojtekova

Exploring exoplanetary atmospheres with a combination of machine learning

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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

Joshua Williamson

Field-level galaxy biasing from DES Y3 weak lensing mass and galaxy maps

Ziyang Yan

Denoise Gaia data with normalizing flow

Prabh BhambraÌý

Using AI to explain astronomy

Marin MlinarevicÌý

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

Patricio Reller GarciaÌý

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

Arianna SabaÌý

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

ÌýFederico SperanzaÌý

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

Andrius VaitkusÌý

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

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I Cheng (Matthew)Ìý

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

Graham Van Goffrier

Improved Nuclear Matrix Elements for Neutrinoless Double-Beta DecayÌý

Nisha Lad

Graph Neural Networks for fast track finding in LHC data

Nikolay WaltersÌý

Active chromospheres in white dwarfs

Samuel Wright

Non-LTE Molecular Spectroscopy for Exoplanet AtmospheresÌý

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