Thomas Webster

PhD Candidate

Birmingham, England, United Kingdom
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Summary

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Senior
Thomas Webster is a final-year PhD candidate in Informatics at the University of Edinburgh specialising in computational complexity and algorithmic game theory, with two peer-reviewed publications. He combines deep mathematical training (BA and MMath, Queens’ College, Cambridge) with nine years of practical experience applying quantitative techniques in industry, notably implementing pricing and analytics systems in C++, C#, and D at Symmetry Investments. At Edinburgh he tutors and marks multiple algorithms courses and teaches a master's-level Algorithmic Game Theory class, translating research insights into clear instruction. Thomas is comfortable across research and production code, bridging theoretical rigor with hands-on software engineering. Based in Birmingham, he brings a rare mix of academic depth and production experience that suits roles at the intersection of algorithm design, quantitative modelling, and software development.
code9 years of coding experience
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Stackoverflow

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Github Skills (1)

chaos9

Programming languages (1)

Python

Github contributions (5)

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Risk Assessments and Experiment Explanations for CHaOS Experiments
Contributions:13 commits, 1 PR, 12 pushes in 16 days
chaosexplanationsriskassessmentschaos-experiments
tdwebster/Experiments

Jan 2023 - Jan 2023

Risk Assessments and Experiment Explanations for CHaOS Experiments
Contributions:36 pushes, 2 branches in 1 day
chaosexplanationsriskassessmentschaos-experiments
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Thomas Webster - PhD Candidate