Daniel Staff

Senior Data Scientist

London, England, United Kingdom
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Summary

👤
Senior
🎓
Top School
Daniel Staff is a Senior Data Scientist in London with a decade of experience building production-ready solutions across computer vision, NLP and knowledge graphs. He has progressed from academic modelling of physical systems during a PhD to delivering ML products at startups and scaleups, currently shaping intelligence at Signal AI. His career blends hands-on engineering—SciPy stack, CV feature descriptors, geometric estimation—with product-facing workflows like data gathering with subject-matter experts and bias analysis. Comfortable moving models from research to mobile and cloud environments, he routinely bridges domain expertise and practical deployment constraints. An underappreciated strength is his background in numerical modelling and distributed computing, which informs robust, interpretable approaches to complex data problems.
code10 years of coding experience
job8 years of employment as a software developer
bookAnglo European School, Ingatestone
bookMaster of Physics (MPhys), Physics, 2:1, Master of Physics (MPhys), Physics, 2:1 at University of Bath
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Github Skills (8)

graph-algorithms10
data-science9
data-mining9
information-retrieval9
subgraph8
data-analysis8
api2
python2

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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digicatapult/fornax

Jun 2018 - Apr 2021

Approximate fuzzy subgraph matching in polynomial time
Contributions:434 commits, 23 PRs, 100 pushes in 2 years 10 months
subgraphdata-mininginformation-retrievalgraph-algorithmssearch-algorithm
Some reusable code to facilitate interacting with the Signal API using python.
Contributions:2 PRs, 59 pushes, 4 branches in 1 month
apisignalpythonpython3reusable
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