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Merge pull request #23 from henrymoss/fix2
Added Tim to UKAEA project
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--- | ||
title: "Timothy Nunn" | ||
author: ["Timothy Nunn"] | ||
lastmod: 2023-11-10T20:49:51+00:00 | ||
draft: false | ||
weight: 3002 | ||
active: true | ||
superuser: false | ||
role: "Research Software Engineer" | ||
organizations: | ||
- name: "UK Atomic Engergy Authority" | ||
url: "https://www.gov.uk/government/organisations/uk-atomic-energy-authority" | ||
# Interests to show in About widget | ||
interests: | ||
- Design optimisation | ||
- Bayesian optimisation | ||
- Gaussian Processes | ||
- Nuclear engineering design | ||
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# Highlight the author in author lists? (true/false) | ||
highlight_name: false | ||
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# Organizational groups that you belong to (for People widget) | ||
# Remove this if you are not using the People widget. | ||
user_groups: | ||
- Supervisor | ||
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image: | ||
image: "avatar.jpg" | ||
caption: "Timothy Nunn" | ||
focal_point: Right | ||
--- | ||
Timothy joined the UK Atomic Energy Authority as a Research Software Engineer in 2020. He studied part-time for his undergraduate degree in Computer Science from the University of Warwick. | ||
Tim's current research is computational techniques for design optimisation of Tokamak's (nuclear fusion reactors). Designing critical subsystems, such as toroidal and poloidal magnets, requires optimising over expensive simulations; simultaneously, expert insights from physicists and engineers are incorporated. Active learning, advanced optimisation techniques (such as Bayesian Optimisation), and machine learning are crucial to performing these complex in-silico designs. |
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