Dan Paul Smith

Lead Data Scientist @ BenevolentAI

About Dan Paul Smith

Dan Paul Smith is the Lead Data Scientist at BenevolentAI in London, with extensive experience in data visualization, frontend development, and high-dimensional data analysis.

Current Role at BenevolentAI

Dan Paul Smith is the Lead Data Scientist at BenevolentAI, based in London, England, United Kingdom. In this role, he applies his expertise in high-dimensional data analysis and knowledge discovery to advance the company's objectives.

Previous Experience at BenevolentAI

Prior to his current role, Dan Paul Smith held multiple positions at BenevolentAI. From 2018 to 2021, he was a Visual Analytics Researcher. Earlier, from 2014 to 2018, he worked in data analysis and visualisation, product development, and product management.

Contractor Roles in Frontend Development

Dan Paul Smith has significant experience as a contractor in frontend development. He worked as a Frontend Developer for justFDI from 2013 to 2014 and for LinkedGov from 2011 to 2012. Additionally, he worked at The National Archives, UK from 2010 to 2011.

Early Career and Education

Dan began his career as a Teaching Assistant at Queen Mary, University of London in 2009 and also worked at Squiz in various roles. His educational journey includes a Master of Research in Advanced Spatial Analysis and Visualisation from University College London, and a BSc (Hons.) in Multimedia Computing with Industrial Experience from Queen Mary University of London.

Expertise in Data Visualisation and Knowledge Graphs

Dan Paul Smith has developed advanced data visualisation and interaction techniques to aid in scientific hypothesis building on large datasets. His expertise extends to configuring graph databases, triple stores, and APIs, as well as modelling ontologies and knowledge graphs.

Workshops and Speaking Engagements

Dan has conducted workshops and spoken at notable events such as SemTechBiz, OpenTech, and UKGovCamp. His presentations focus on user interaction and data consumption for linked and open data, sharing his extensive knowledge in the field.

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