James Thorne Email & Phone Number
@thorne.bz
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Who is James Thorne? Overview
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James Thorne is listed as Chief Technology Officer at Theia Insights / Assistant Professor at KAIST at Theia Insights, based in United Kingdom. AeroLeads shows a work email signal at thorne.bz and a matched LinkedIn profile for James Thorne.
James Thorne previously worked as Chief Technology Officer at Theia Insights and Head of AI at Theia Insights. James Thorne holds Doctor Of Philosophy - Phd, Computer Science from University Of Cambridge.
Email format at Theia Insights
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AeroLeads found 1 current-domain work email signal for James Thorne. Compare company email patterns before reaching out.
About James Thorne
View my publications here: https://scholar.google.com/citations?user=hao9RrgAAAAJI have recently completed my PhD in Natural Language Processing at University of Cambridge and will soon be joining KAIST as an assistant professor. My research focuses on developing methods for language understanding, with a particular focus on knowledge intensive methods that require external evidence. During my PhD, I researched methods to automatically identify and correct errors in text and designed and co-organized the FEVER shared task
Listed skills include C#, Java, Event Management, Jquery, and 26 others.
James Thorne's current company
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James Thorne work experience
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Head Of Ai
- Head of AI and research at venture funded startup - Developed core NLP pipelines for knowledge extraction and document summarization for finance- Lead development of proof of concept prototypes for international banking clients- Accepted to AWS Generative AI accelerator (1.6% acceptance rate)
Assistant Professor
Current- Founded XFACT research lab focusing on explainable factual reasoning topics- Advisor for 3 PhD Students and 9 MS students, introducing researchers with different backgrounds for explainable natural language processing.- Introduced 2 new modules: Bias and Ethics for Natural Language Processing, Information Retrieval-based AI + Delivered an invited course for knowledge intensive NLP
Research Intern
- Developed a novel framework for large-scale question answering over unstructured textual data.- Introduced a method for generated a synthetic dataset generated from Wikidata- Developed of a multi-hop multi-set retrieval approach using transformer-based models including distant supervised pre-training and negative instance generation.- The work resulted in two publications at VLDB and ACL, as well as a workshop presentation at West Coast NLP.- Retained as a graduate research scientist from October 2020 until March 2021.
Applied Scientist Intern
- Researched locally interpretable neural models for Natural Language Inference and their potential application for fact verification.- Developed attention-based explanation mechanism to identify salient tokens for a text classification task without the need for token-level labels.- This internship resulted in publication at NAACL2019
Applied Science Intern
- Researched open-domain information extraction and information verification using data from Wikipedia.- Developed a novel task formulation for fact verification as the joint task of information recall with natural language inference. Evaluated the dataset with baseline models with standard neural architectures (specifically: LSTM, Decomposable Attention, MLP)- Released a new dataset (FEVER) and used this as the basis for an academic shared task. This dataset has become the de facto standard for automated fact verification.- The internship resulted in a paper accepted at NAACL2018.
Software Engineer
- Developed several user interfaces for advanced sonar systems using Java, JavaFX, and C++ (Boost), focusing on controlling specialist equipment.- Authored and presented a white paper on the use of description logics in model-driven development to the Specialist Engineering Technologies working group, heads of business, and UK chief software architects, proposing strategies for asset rationalization in product line engineering.
Freelance Software Engineer
Developed several business applications on Microsoft stack as an independent freelancer and contracted worker with The Distance Agency. Led greenfield and brownfield development for web and API services for mobile applications for customers in Finance, Entertainment, and Healthcare sectors.Experience with eCommerce; including integration with RBS WorldPay and PayPal.C#, ASP.NET, Microsoft SQL, BizTalk
James Thorne education
Doctor Of Philosophy - Phd, Computer Science
Meng Computer Science With Artificial Intelligence, Computer Science
Frequently asked questions about James Thorne
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What company does James Thorne work for?
James Thorne works for Theia Insights.
What is James Thorne's role at Theia Insights?
James Thorne is listed as Chief Technology Officer at Theia Insights / Assistant Professor at KAIST at Theia Insights.
What is James Thorne's email address?
AeroLeads has found 1 work email signal at @thorne.bz for James Thorne at Theia Insights.
Where is James Thorne based?
James Thorne is based in United Kingdom while working with Theia Insights.
What companies has James Thorne worked for?
James Thorne has worked for Theia Insights, Kaist, Facebook Ai, Amazon, and Thales.
How can I contact James Thorne?
You can use AeroLeads to view verified contact signals for James Thorne at Theia Insights, including work email, phone, and LinkedIn data when available.
What schools did James Thorne attend?
James Thorne holds Doctor Of Philosophy - Phd, Computer Science from University Of Cambridge.
What skills is James Thorne known for?
James Thorne is listed with skills including C#, Java, Event Management, Jquery, Mysql, Web Development, Html, and .Net.
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