James Thorne
Chief Technology Officer at Theia Insights
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolJames Thorne is a technology leader and researcher with 12 years’ experience bridging applied NLP research and product-focused AI engineering. Recently completing a PhD in Natural Language Processing at Cambridge and about to join KAIST as faculty, he has driven industry-impacting work on knowledge-intensive language understanding, automated fact verification, and explainable reasoning—co-designing the influential FEVER dataset and shared task. As CTO and former Head of AI at Theia Insights he built production NLP pipelines for finance and led prototypes for international banks, and his team’s acceptance into the AWS Generative AI accelerator highlights a track record of competitive, practical innovation. He has published at top venues (ACL, VLDB, NAACL) and uniquely combines academic rigor with hands-on systems experience dating back to embedded and enterprise software roles, making him adept at turning complex research into deployable solutions.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of CambridgeMEng Computer Science with Artificial Intelligence, Computer Science, First Class Honours, MEng Computer Science with Artificial Intelligence, Computer Science, First Class Honours at University of York
English, French, Korean
Stackoverflow
129reputation
17kreached
4answers
6questions
Github Skills (82)
dotnet10
httplib10
nlp10
fact10
verification10
csharp10
extraction10
acl9
http9
meter9
natural-language-processing9
python8
natural-language-generation8
pii8
explore8
Programming languages (6)
Github contributions (5)
sheffieldnlp/naacl2018-fever
Nov 2017 - Aug 2021
Fact Extraction and VERification baseline published in NAACL2018
Contributions:1 release, 472 commits, 3 PRs in 3 years 10 months
nlpextractionfactverificationpublished
FakeNewsChallenge/fnc-1-baseline
Mar 2017 - Jul 2017
A baseline implementation for FNC-1
Contributions:15 commits, 8 PRs, 11 pushes in 4 months
nlpmachine-learningfake-newsnatural-language-processingfnc
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