Edward Dearden
Data Scientist
Manchester, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolEdward Dearden is a data scientist with eight years' experience specialising in natural language processing, machine learning and automated fact-checking. He holds a PhD in NLP from Lancaster University and has applied research-grade methods to real-world problems at Full Fact, the BBC and AO, bridging academic rigour with product-focused delivery. His work ranges from disinformation research during his PhD to deploying NLP solutions for business stakeholders, showing an ability to translate complex models into actionable insights. Based in Manchester, he combines hands-on modelling and engineering with teaching experience from university courses, making him comfortable explaining technical concepts to diverse audiences. Outside of work he explores game development and occasional writing, reflecting a creative side that informs his approach to problem framing and experimentation.
8 years of coding experience
5 years of employment as a software developer
PhD Computer Science, Natural Language Processing, PhD Computer Science, Natural Language Processing at Lancaster University
Github Skills (5)
mls4
segment3
ruby-on-rails2
ruby2
rails2
Programming languages (2)
Github contributions (5)
dearden/april-fools
Aug 2018 - Mar 2019
Contributions:4 commits, 3 pushes, 1 branch in 7 months
bbc/news-chrysalis-segmentation
May 2022 - Nov 2022
Looking into users consuming articles from different topics on BBC News apps to segment users and offer personalised rails in Chrysalis.
Contributions:22 PRs, 41 pushes, 8 branches in 6 months
ruby-on-railsrailsbbc-newsmlsweb-app
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