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Motonori Oka is a PhD student at the London School of Economics and Political Science specializing in statistics. His research interests broadly encompass statistics, machine learning, deep learning, education, and social sciences. He is particularly devoted to methodological advancements in latent variable modeling and contributes to understanding complex phenomena in human behaviors. His research is centered on scalable psychometrics and education data science, with a focus on developing scalable estimation algorithms and theories for latent factor models. Oka holds a Bachelor of Arts in Psychology from the University of Tsukuba and a Master of Arts in Education from the University of Tokyo.
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