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Rio Fear is a PhD student at the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge. His research focuses on foundation models in the physical sciences, with a particular emphasis on mechanistic interpretability. He has accumulated extensive experience in data science through various roles at Black Swan Data, where he progressed from Data Scientist to Senior Data Scientist, and then to Data Science Director. His background in physics includes earned degrees from prestigious institutions, including a Master of Science from Imperial College London and a Bachelor of Science from Queen Mary University of London, both achieved with first-class merit.
Department of Applied Mathematics and Theoretical Physics • Cambridge, GB
Engaged in doctoral research on foundation models and their applications in physical sciences.
Black Swan Data • Cambridge, GB
Led data science initiatives and projects.
Black Swan Data • Cambridge, GB
Directed multiple data science projects and managed teams.
Black Swan Data • Cambridge, GB
Conducted advanced data analyses and developed data-driven solutions.
Velti • London, GB
Worked on data science projects related to mobile marketing.
Standard postgraduate requirements for Department of Politics and International Studies (POLIS) and related humanities departments.