معرفی
Tom Kempton is a Senior Lecturer in the Department of Mathematics at the University of Manchester, currently on leave while working as an AI Fellow at the Featurespace Innovation Lab in Helsinki. His research focuses on the intersection of machine learning and ergodic theory, with a background in thermodynamic formalism, fractal geometry, and number theory.
- Current Main Interests: Machine Learning, Ergodic Theory, Fractal Geometry, Number Theory
- Previous Affiliations: EPSRC Postdoc at University of St Andrews (w/ Kenneth Falconer), Postdoc at University of Utrecht (w/ Karma Dajani), PhD at University of Warwick (w/ Mark Pollicott)
- Education: PhD in Mathematics from University of Warwick (2011)
Kempton's recent work explores decoding strategies in large language models through thermodynamic formalism and investigates local normalization distortion for machine-generated text detection. Earlier contributions include foundational research on Bernoulli convolutions, self-affine sets, and thermodynamic formalism in symbolic dynamics.
Students Mentored: Postdocs Leticia Pardo Simon, Lawrence Lee, Demi Allen; PhD students Alex Batsis, Peej Ingarfeld, Alden Paige, Milo Edwardes.
His research has been published in journals including Nonlinearity, Mathematische Zeitschrift, and International Mathematics Research Notices. Kempton's university email thomas.kempton@manchester.ac.uk remains active despite his leave status.
