Motonori Oka

简介

Motonori Oka’s research interests lie broadly in statistics and machine/deep learning for the education and social sciences, with specific devotion to methodological advancement in latent variable modeling that contributes to the better understanding of the complex phenomena behind human behaviors. The thrust of his research has been centered on scalable psychometrics, education data science, and statistics education. In particular, he is interested in scalable estimation algorithms and their theory of latent factor models. He holds a BA in Psychology from University of Tsukuba and an MA in Education from the University of Tokyo.