IAIFI Fellow at Massachusetts Institute of Technology
Boston, Massachusetts, United States
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Summary
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Thomas Harvey is an IAIFI Fellow at MIT who applies machine learning techniques to problems at the intersection of theoretical physics and mathematics, with a particular focus on using ML methods to probe string theory. With nine years of research experience and a DPhil in Theoretical Physics from Oxford complemented by advanced study at Cambridge and Royal Holloway, he blends deep theoretical rigor with practical computational skills. His work sits bidirectionally between AI and fundamental physics, leveraging ML both as a tool for discovery and a source of new theoretical insight. Beyond research, he has engaged in public physics outreach and teaching, demonstrating an ability to communicate complex ideas to varied audiences. An early career that includes internships at NPL and hands-on research in many-body localisation suggests strong experimental and computational versatility. Based in Boston, he brings a rare mix of high-energy theory, applied mathematics, and modern ML methods to frontier scientific questions.
9 years of coding experience
MSci Theoretical Physics, MSci Theoretical Physics at Royal Holloway, University of London
Doctor of Philosophy - DPhil Theoretical Physics, Doctor of Philosophy - DPhil Theoretical Physics at University of Oxford
MASt Applied Mathematics and Theoretical Physics, MASt Applied Mathematics and Theoretical Physics at University of Cambridge
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Thomas Harvey - IAIFI Fellow at Massachusetts Institute of Technology