Professor Yang-Hui He is a mathematical physicist working at the interface of geometry, number theory and quantum field theory/string theory. Recently, he helped introduce machine learning into the field of pure mathematics by using AI to help uncover new patterns and raise new conjectures (cf. interview by Science [Vol 365, July, 2019] and by New Scientist [Dec 9 Issue, 2019]). He has over 150 papers and 2 books, with more than 6500 citations, h-index 45 (Google Scholar). Professor He received his BA from Princeton University (summa cum laude), MA from Cambridge (distinction, Tripos) and PhD from MIT. He is currently Fellow of the London Institute, Royal Institution, jointly tutor in mathematics at Merton College, University of Oxford, professor of mathematics at City, University of London, and chair professor of physics at Nankai University.

• - Prologus Terræ Sanctæ. - The Compact Landscape. - The Non-Compact Landscape. - Machine-Learning the Landscape. - Postscriptum.

“The description of the geometry of Calabi–Yau manifolds at the beginning of the book is directed to readers with a solid geometric background … . The book mainly consists of a clear presentation on how neutral networks and machine learning tools can be usefully employed to interact (with a statistically high rate of success) with deep theoretical studies of geometric objects.” (Luca Chiantini, zbMATH 1492.14001, 2022)“The book assists the reader in such outsourced learning. It is structured as a sort of hypertext that provides general context and a big picture with embedded ‘links’ (references) to the more specialized literature. … The message of the Calabi-Yau landscape is that it is time for both to learn data science, and this book is a fine place to start.” (Sergiy Koshkin, Mathematical Reviews, October, 2022)