William Bryant
Data Science And Insights Lead
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolWilliam Bryant is a Data Science and Insights Lead with 11 years of experience applying Python and R to clinical and biological datasets, currently steering an in-house data science consultancy at Great Ormond Street Hospital to deliver AI governance, operational analytics, and clinical informatics across the Trust. He has progressed from hands-on research in bacterial metabolism and advanced algorithms (e.g., ABC, simulated annealing) to leading multidisciplinary teams that turn real-world clinical data into actionable intelligence for research, trials, and operational improvement. William combines academic rigor—a PhD in Biochemical Engineering from UCL and an MPhys from Oxford—with practical delivery, having overseen ETL for two decades of patient records and run pilot ML projects that scale into production. An advocate for open standards, he contributes to open-source tooling (notably back-end improvements to the widely used COBRA Toolbox) to improve reproducibility and performance in computational biology.
11 years of coding experience
17 years of employment as a software developer
MPhys, Physics, MPhys, Physics at University of OxfordUniversity College London
Stackoverflow
531reputation
75kreached
5answers
10questions
Github Skills (15)
constraint-layout10
matlab10
constraint10
constraint-satisfaction10
modeling10
3d-reconstruction9
recovery9
image-reconstruction9
datetime6
pandas6
dictionary6
ipython6
append6
dataframe6
jupyter6
Programming languages (3)
Github contributions (5)
opencobra/cobratoolbox
Oct 2015 - Jan 2017
The COnstraint-Based Reconstruction and Analysis Toolbox. Documentation:
Role in this project:
Back-end Developer
Back-end DeveloperContributions:34 commits, 5 PRs, 5 comments in 1 year 2 months
Contributions summary:William primarily contributed to the improvement of the `cobratoolbox`, a constraint-based reconstruction and analysis toolbox. Their work focused on refining the core functionality of the toolbox, specifically by correcting charge assignments in the `extractSubNetwork.m` file and improving the import capabilities of the gapFilling module. They also added features, such as importing tab-separated metabolite dictionaries, and refactored weight assignments for added flexibility. Furthermore, they made changes to improve performance and stability.
microbiome-analysisgap-fillingmetabolic-reconstructioncobra-toolboxomics-data-integration
wbryant/incognito
Feb 2015 - Apr 2024
A website for the comparison of metabolic models using Clusters of Orthologous Genes to propose enzymes for uncatalysed reactions.
Contributions:2 PRs, 8 pushes, 2 branches in 9 years 3 months
metabolic-modelsclusterscomparisonbiologysystems-biology
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