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Yanchun Jin

Yanchun Jin

Chief AI Officer and GenAI expert

yanchun
Tokyo, Japan
Joined December 2025
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Summary

Transitioned from academic econometrics to applied AI and product leadership: Jin completed a PhD in econometrics (Kyoto University), authored econometrics papers and working papers, and later moved into industry roles in data science and consulting before co‑founding OdysseyAI to build GenAI products for the insurance sector. ac+3
Active contributor to econometric methods: Jin co‑authored work on moment‑inequality testing for overconfidence and published nonparametric testing work, indicating technical strength in econometric theory and applied empirical methods. wiley+2
Experienced applied data scientist in consulting and industry: Professional profiles and aggregators list roles at Monitor Deloitte and EY in data science/consulting, demonstrating experience applying quantitative methods in client and business settings prior to founding OdysseyAI. rocketreach+1
Product‑oriented AI leader in regulated industries: As Co‑Founder and Chief AI Officer at OdysseyAI, Jin leads development of compliance‑focused GenAI products tailored to the insurance industry (e.g., agent assistants and training tools), reflecting a focus on safe, practical AI deployment in regulated contexts. odysseyai

Work

Education

Projects

Writing

Testing for Overconfidence Statistically: A Moment Inequality Approach

January 1, 2020

Econometrics paper proposing a moment‑inequality testing procedure to detect overconfidence from ranking experiments; initially circulated as a KIER working paper and SSRN item and published in the Journal of Applied Econometrics.

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Nonparametric tests for the effect of a treatment on the conditional variance

December 1, 2017

Peer‑reviewed article presenting nonparametric tests for treatment effects on conditional variance (published in the Journal of the Japan Statistical Society).

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