James Thorne

James Thorne Email and Phone Number

Chief Technology Officer at Theia Insights / Assistant Professor at KAIST @ Theia Insights
James Thorne's Location
United Kingdom, United Kingdom
James Thorne's Contact Details

James Thorne work email

James Thorne personal email

n/a
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

James Thorne's Current Company Details
Theia Insights

Theia Insights

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Chief Technology Officer at Theia Insights / Assistant Professor at KAIST
James Thorne Work Experience Details
  • Theia Insights
    Chief Technology Officer
    Theia Insights Jan 2024 - Present
    Cambridge, England, Gb
  • Theia Insights
    Head Of Ai
    Theia Insights Mar 2022 - Jan 2024
    Cambridge, England, Gb
    - 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)
  • Kaist
    Assistant Professor
    Kaist Jun 2022 - Present
    Yuseong-Gu, Daejeon, Kr
    - 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
  • Facebook Ai
    Research Intern
    Facebook Ai Jun 2020 - Mar 2021
    - 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.
  • Amazon
    Applied Scientist Intern
    Amazon Aug 2018 - Dec 2018
    Seattle, Wa, Us
    - 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
  • Amazon
    Applied Science Intern
    Amazon Jun 2017 - Oct 2017
    Seattle, Wa, Us
    - 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.
  • Thales
    Software Engineer
    Thales Aug 2013 - Aug 2014
    Meudon, Île-De-France, Fr
    - 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.
  • James Thorne
    Freelance Software Engineer
    James Thorne Jun 2008 - Jun 2013
    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 Skills

C# Java Event Management Jquery Mysql Web Development Html .net Javascript Linux Microsoft Sql Server Mvc Mobile Applications Asp.net Mvc Csp Php C++ Codeigniter Wpf Css Git Togaf Ajax Ibm Rational Rhapsody Xml Python Agile Methodologies Software Development Test Driven Development Postgresql

James Thorne Education Details

  • University Of Cambridge
    University Of Cambridge
    Computer Science
  • University Of York
    University Of York
    Computer Science

Frequently Asked Questions about James Thorne

What company does James Thorne work for?

James Thorne works for Theia Insights

What is James Thorne's role at the current company?

James Thorne's current role is Chief Technology Officer at Theia Insights / Assistant Professor at KAIST.

What is James Thorne's email address?

James Thorne's email address is ja****@****orne.bz

What schools did James Thorne attend?

James Thorne attended University Of Cambridge, University Of York.

What skills is James Thorne known for?

James Thorne has skills like C#, Java, Event Management, Jquery, Mysql, Web Development, Html, .net, Javascript, Linux, Microsoft Sql Server, Mvc.

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