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Edward Hirst

City PhD Student

Edward Hirst is a postdoctoral researcher in physics at Queen Mary, University of London, and a Visiting Researcher at the London Institute for Mathematical Sciences (LIMS).3 His research focuses on string theory, gauge theory, and the application of machine learning to physics and mathematics.13

Hirst has published numerous papers in prestigious journals, with his work spanning topics such as:

  1. Machine learning applications in algebraic geometry and Calabi-Yau manifolds1
  2. Quiver mutations and Seiberg duality1
  3. Hilbert series and their applications to physics1
  4. Cluster algebras and their connections to network science1

Recently, in December 2023, Hirst had the opportunity to speak at the String Data 2023 conference at Caltech University in Los Angeles.2 This event likely showcased his expertise in applying machine learning techniques to string theory and related fields.

Hirst's research contributions have garnered significant attention in the scientific community, with his papers receiving hundreds of citations.1 His work bridges the gap between theoretical physics, mathematics, and cutting-edge machine learning techniques, positioning him at the forefront of interdisciplinary research in these fields.

Highlights

‪Edward Hirst‬ - ‪Google Scholar‬
Ed Hirst - Stardust | JPL | NASA

Related Questions

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Edward Hirst
Edward Hirst, photo 1
Edward Hirst, photo 2
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Location

United Kingdom