Hannah Kirk is a research scientist focused on human-AI alignment and the steerability and safety of large language models, drawing on nine years of multidisciplinary experience across academia, think-tanks, and industry. Currently at the AI Safety Institute and a team lead in the Oxford AI Society Research Labs, she combines data-centric methods—active and adversarial learning—with rigorous social-data-science perspectives to build robust, scalable datasets and evaluation protocols. Her work at The Alan Turing Institute and Rewire produced applied outputs on online harms and explainable sexism detection, including high-profile reports and conference papers (NeurIPS, SemEval). With a DPhil candidate role at Oxford, a visiting scholarship at NYU, and advanced degrees from Cambridge and Peking University, she blends deep technical competence with policy and ethics fluency. Notably, she has led intersectional bias research on generative models and translated findings into media-facing impact and product-focused projects.
9 years of coding experience
4 years of employment as a software developer
Visiting Academic, Artificial Intelligence, Visiting Academic, Artificial Intelligence at New York University
12 A*, 12 A* at The Perse School for Girls
PhD Candidate, Social Data Science, PhD Candidate, Social Data Science at Oxford Internet Institute, University of Oxford
Bachelor of Arts (B.A.), Economics, Double First, Bachelor of Arts (B.A.), Economics, Double First at University of Cambridge
Master's degree, Economics, Master's degree, Economics at Yenching Academy of Peking University
Further Mathematics (A*), Mathematics (A*), Physics (A*), Economics (A*), Chemistry AS (A), Further Mathematics (A*), Mathematics (A*), Physics (A*), Economics (A*), Chemistry AS (A) at The Perse School
Contributions:11 pushes, 1 branch in 1 year 3 months
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