Sefa Ozalp is an experienced data science researcher who has worked on complex socio-technical projects across academia, non-profit, government and fintech sectors. As a data scientist, Sefa has led and successfully delivered multiple data science and Natural Language Processing (NLP) projects for high-calibre institutions which are leaders in their respective fields. At HateLab, Sefa was central to the running of a £3M programme of work, collating numerous big datasets from multiple online platforms using APIs and bespoke collection methods, devising and supervising large-scale data annotation tasks, building machine learning models to detect online hate speech in short texts (e.g. Twitter data), and analysing online hate trends using novel statistical information propagation models and data visualisation methods. Sefa has published on online antisemitism, racist and anti-Muslim hate speech and other forms of online harms in top academic journals. His work has been cited by various national British media outlets, including ITV’s Exposure, The Guardian, and others. Sefa is currently completing a PhD on the propagation and mitigation of anti-Muslim online hate speech in the aftermath of terror attacks. Sefa likes cycling and playing video games (not competitively).

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