Leads AI architecture, product intelligence, and model governance. PhD, Kyoto University, with expertise in applied AI, econometrics, and enterprise decision systems.
Yanchun's research background is in econometrics, developed at Kyoto University's Graduate School of Economics. Her published work includes a 2016 working paper on nonparametric tests for the effect of treatment on conditional variance, and a 2020 paper in the Journal of Applied Econometrics, co-authored with Ryo Okui, developing a statistical approach to testing for overconfidence.
At OdysseyAI, she brings that quantitative research background to bear on Hoken Budd-E's AI architecture, model governance, and decision-support systems.