Thomas Hudson
Post Doctoral Research Associate
England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolThomas Hudson is an experienced researcher-engineer with a decade of experience at the intersection of AI research and real-world systems, currently pursuing postdoctoral work at Durham University on applying LLMs and other AI techniques to medical problems. He combines academic rigor from a PhD in Computer Science with practical industry experience as a data scientist solving financial-crime problems, building production model monitoring, and extracting information from unstructured text. Thomas has contributed notable NLP datasets to the widely used Hugging Face datasets hub, demonstrating deep expertise in text data engineering and reproducible documentation. He also has hands-on software and product experience—ranging from satellite-based roof area estimation to UI development—showing a knack for turning novel ideas into usable tools. Based in England, he blends research curiosity with production-focus, making him adept at bridging the gap between cutting-edge methods and deployed healthcare and financial applications.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Durham University
Github Skills (6)
machine-learning10
nlp10
datasets10
text-processing9
python9
data-manipulation9
Programming languages (5)
Github contributions (5)
huggingface/datasets
Jun 2020 - May 2021
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Role in this project:
Data Scientist
Data ScientistContributions:13 reviews, 12 commits, 17 PRs in 10 months
Contributions summary:Thomas added several new datasets, each requiring different data manipulation and processing techniques. The user implemented datasets related to natural language processing, including WikiSQL, QA-ZRE, MWSC, DocRED, Hyperpartisan News Detection, Quora, Style Change Detection, HotpotQA, and Numeric Fused Head, demonstrating a broad knowledge of text-based datasets. Moreover, the user also addressed documentation and dataset info for the added datasets, indicating a commitment to making them usable and well-documented.
ml-modelstensorflownatural-language-processingmanipulationdata-science
ghomasHudson/CQC-report-dataset
Apr 2020 - Aug 2024
Contributions:1 release, 4 pushes, 1 branch in 4 years 4 months
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