Ying Nian Wu

2006 - now: Professor, Department of Statistics, UCLA.
2020 - 2025: Amazon scholar, AI services at Amazon Web Services, Los Angeles.
2001 - 2006: Associate Professor, Department of Statistics, UCLA.
1999 - 2001: Assistant Professor, Department of Statistics, UCLA.
1997 - 1999: Assistant Professor, Department of Statistics, University of Michigan.
Summers 1996, 1997: Visitor, Bell labs.
Ph.D. in Statistics, Harvard, 1996.




Quantum Physics as Recurrent Network: An Introduction for Machine Learning Practitioners within the Fock-Born Framework

Machine learning practitioners can get the basic idea of quantum physics by reading the first few chapters. The whole book is also intended for graduate students and professionals in physics, where the Fock-Born framework should be the organizing principle for both particle physics and condensed matter physics, and should be the guiding principle for quantum gravity.

Modern Platonism: The Intractability Principle and The Computational Universe



Incompleteness and the Existence of Experience: Godel Theorems as a Stress Test for Plato, Sankara, and Nagarjuna