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DISCnet Cohort 2024
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
Yoshita Dabburi
Queen Mary University London
Measuring Electron Neutrino Interactions with Short Baseline Near Detector (SBND)
Alex Arnold
Queen Mary University London
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Sayan Das
University of Sussex
Search for dark neutrinos with the Short Baseline Near Detector
Eoghan Rutherford
Open University
Machine learning applied to space telescope data to find transiting exoplanets and new exoplanet host stars, as part of the Dispersed Matter Planet Project
Viktoria Kecskemethy
University of Hertfordshire
Remote sensing alien clouds and chemistry with JWST
Bhuvanesh Srini
University of Hertfordshire
Atmospheric rivers in the midst of Climate change (data science approach)
University of Sussex
Detector systematics and neutrino oscillation analysis at DUNE
Max de Carlos Generowicz
University of Sussex
Opaque scintillator detector R&D and neutrino physics
Adam Wong
University of Sussex
Opaque scintillator detector R&D and neutrino physics
Xin Tang
University of Sussex
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