Chris Tyson
Interested in natural language processing, computational social science, and extreme politics and misinformation on social networks.
I am a Data Scientist at glass.ai, focusing on natural language processing and machine learning. My responsibilities encompass client-oriented projects for entities such as Ipsos, UKRI, and the Department for Digital, Culture, Media and Sport. In my role, I contribute to the development of algorithms for company discovery, classification, and growth signal detection from web scraped content.
Previously I’ve been a Software Engineer at JPMorgan Chase & Co building dashboards with kdb+ and Grafana.
Prior to this, I graduated with a Distinction in MSc Data Science from the University of Exeter. My supervisor was Hywel Williams and for my thesis I looked at the feasibility of electoral prediction using socially generated data, using Twitter as a case study. I completed my BSc in Computer Science and Mathematics also at the University of Exeter.