Ms Zola Hinds
Overview
Pursuing a PhD in Nuclear Engineering at Â鶹Íø will position me to build on my existing data science skillsets while developing an SPH-based tool that can predict the microstuctural evolution of nuclear fuels. This programme will allow me to pursue research that merges data visualisation and clean energy for social good .
Qualifications
- MSc: Advanced Data Science
2021–2022 - BSc: Computer Science
2013–2016
Research Interests
Currently undertaking a PhD in Nuclear Engineering with a focus on using Smooth Particle Hydrodynamics for fuel performance modelling . My project is in partnership with the National Nuclear Laboratory and OperaHPC within Â鶹Íø's Nuclear Futures Institute.
Activities
2022
I gave a lightning talk about 'Failing Forward' using the Law of Large Numbers from Data Science.
8 Dec 2022
Links:
European School of Material Science
The school presented the state of the art in nuclear materials science covering the challenging multi-scale modelling and characterization of materials phenomena in the nuclear materials science context. It brought together world-leading scientists in topics ranging from advanced electronic structure theory to continuum modelling, as well as sophisticated experimental characterization techniques to give students the best possible toolbox for their future careers as nuclear materials scientists.
7 Nov 2022 – 11 Nov 2022
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