DISCnet Cohort 2021
Our students are exceptional problem solvers and highly-skilled data specialists.
From their PhD research they bring extensive experience of handling intensive tasks and managing complex data sets and problems to industry placements.
Meet The Students
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Anisa Aubin
University of Sussex
Working on Simfarm2030: An empirical, data driven, model for wheat cultivars and optimisation for future climate scenarios.
Mauricio A. Diaz
University of Southampton
Machine Learning & Artificial Intelligence for BSM Phenomenology
Jussi Kuusisto
University of Sussex
Exploring Galaxy Formation in the Distant Universe with Hydrodynamical Simulations and Next Generation Space Telescopes"
Francisco Martínez López
Queen Mary University London
Data Acquisition and Dark Matter studies at the DUNE FD.
Callum Boocock
Queen Mary University London
Magnetohydrodynamic Waves in Realistic 3D Solar Atmospheric Structures
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Lewis Hill
University of Portsmouth
Stellar Populations in Galaxies with the Large Galaxy Survey SDSS IV/MaNGA".
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Joshua Wilde
The Open University
Using convolutional neural networks to identify gravitational lenses and working on interpreting these networks
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Giorgio Cerro
University of Southampton
Machine learning for particles jets
Arran Freegard
University of Southampton
Exploring Dark Matter signals and their backgrounds with ATLAS at the LHC
David Turner
University of Sussex
From Cluster Mass Calibration to Cluster Cosmology
Jacob Orwat-Kapola
University of Southampton
Data science and machine learning applied to problems at the intersection of observational astronomy and the industry
Adam McMaster
The Open University
Searching for black holes and variable stars in archival data from the SuperWASP survey, with help from citizen scientists and machine learning.
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Ryan Wood
University of Sussex
Jet Physics at the Large Hadron Collider in and beyond the Standard Model.
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Maria Del Carmen Campos Varillas
University of Sussex
Galaxy evolution: statistical analysis of data within the Herschel Extragalactic Legacy Project (HELP)