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Miles Cranmer is an Assistant Professor at the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge. His work focuses on data-intensive science, specifically in the area of artificial intelligence for scientific discovery. With a strong background in both applied mathematics and theoretical physics, he applies advanced computational techniques to tackle complex problems in gravitational physics and relativity. He leads a research group that explores novel methodologies in AI and machine learning to enhance scientific understanding and research outcomes. Cranmer has contributed to multiple publications in high-impact journals, as evidenced by his Google Scholar profile. His research interests include gravitational waves, data analysis methods in astrophysics, and the application of AI technologies in scientific exploration.
Department of Applied Mathematics and Theoretical Physics, University of Cambridge • Cambridge, England
Engaged in research and teaching in data-intensive science within the domain of applied mathematics and theoretical physics.
Standard postgraduate requirements for Department of Politics and International Studies (POLIS) and related humanities departments.