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5.05/4/2026

Brings enthusiasm and expertise to class.

About Ard

Ard Louis is Professor of Theoretical Physics in the Department of Physics at the University of Oxford, where he is affiliated with the Rudolf Peierls Centre for Theoretical Physics. He serves as Director of Graduate Studies in Theoretical Physics and leads an interdisciplinary research group studying problems on the border between theoretical physics, chemistry, applied mathematics, and biology. As a theoretical physicist, he has broad interests including self-assembling DNA, theories of evolution, the dynamics of soft matter, machine learning, and applications of algorithmic information theory. His research themes include biological physics and statistical physics. Louis collaborates with biologists, chemists, computer scientists, mathematicians, philosophers, and theologians.

Louis completed his undergraduate studies at the University of Utrecht, Netherlands, and received his Ph.D. in theoretical physics from Cornell University, U.S.A. Prior to Oxford, he taught Theoretical Chemistry at the University of Cambridge and was Director of Studies in Natural Sciences at Hughes Hall. From 2002 to 2010, he held a Royal Society University Research Fellowship. In 2025, Professor Louis was awarded the Institute of Physics Sam Edwards Medal and Prize. His scholarly impact is evidenced by over 14,500 citations on Google Scholar. Key publications include "Symmetry and simplicity spontaneously emerge from the algorithmic nature of evolution" (PNAS, 2021; with Iain G. Johnston, Kamaludin Dingle, Sam F. Greenbury, Chico Q. Camargo, Jonathan P. K. Doye, and Sebastian E. Ahnert), "Contingency, convergence and hyper-astronomical numbers in biological evolution" (Studies in History and Philosophy of Biological and Biomedical Sciences, 2016), "Predicting the topography of fitness landscapes from the structure of genotype–phenotype maps" (Genetics, 2026; with Malvika Srivastava and Nora S. Martin), "A simple mean field model of feature learning" (2025; with Niclas Göring, Chris Mingard, and Yoonsoo Nam), and "Sufficient Conditions for Stability of Minimum-Norm Interpolating Deep ReLU Networks" (2026; with Ouns El Harzli, Yoonsoo Nam, Ilja Kuzborskij, and Bernardo Cuenca Grau).