András Juhász is Professor of Mathematics at the University of Oxford. He specialises in low-dimensional topology and knot theory from the point of view of invariants such as Heegaard Floer homology. Recently, in collaboration with DeepMind, he has been exploring how machine learning might be used to advance pure mathematics.
'The writing style, again befitting a guide of this type, generally suggests an informal discussion, perhaps during afternoon tea, with a working topologist. The book should prove useful to topology students as they move into more advanced work.' Andrew D. Hwang, MAA Reviews