Andras Juhasz

Andras Juhasz is a Research Fellow at the Mathematical Institute, University of Oxford, within the Department of Mathematics. His research interests include low-dimensional and differential topology, Heegaard Floer homology, and applications of machine learning to mathematics. Juhasz has contributed to major publications in differential and low-dimensional topology, including 'LMS Student Texts 104' and work on Fox's trapezoidal conjecture. He has also been involved in experimental mathematics and the use of reinforcement learning in knot theory. Juhasz is affiliated with Keble College and has received several awards, including the Whitehead Prize in 2023 and the ERC Starting Grant OXTOP from 2016 to 2021.

Andras Juhasz is a researcher at the University of Oxford, specializing in Topology and Machine Learning. His work explores the intersection of these fields, particularly through the application of AI to mathematical problems. Juhasz's research includes topics such as Heegaard Floer homology, sutured manifolds, and knot cobordisms, with a focus on understanding the topological properties of 3- and 4-dimensional manifolds. His publications often address the classification of surfaces, the behavior of Floer homology, and the connections between knot theory and geometric topology. His contributions have advanced the understanding of invariants in low-dimensional topology and their applications to mathematical structures.