厳 世博 · ゲン セイハク
About Me
Graduate researcher at Meiji University's School of Professional Accountancy in Tokyo. My background spans automation engineering and Japanese studies — now focused on the intersection of quantitative analysis, accounting, and AI.
Currently working under Professor Yoshimura Takashi, investigating whether AI adoption generates measurable financial returns for Japanese listed companies. My approach is empirical: panel data, event studies, and statistical modeling.
Interdisciplinary by background — automation engineering and Japanese studies at undergraduate level, now specializing in accounting and empirical finance research.
Skills
Projects
Selected work in quantitative modeling and empirical research.
Plastic Waste Modeling
MCM/ICM 2020 · Problem EBuilt a multivariate nonlinear regression model combined with a grey prediction system to estimate global disposable plastic waste thresholds. Applied TOPSIS-based environmental carrying capacity evaluation across four major world regions, analyzing production and recycling data from 2005 to 2017.
AI Adoption & Financial Performance
Master's Thesis · OngoingInvestigating whether AI-related disclosure in corporate annual reports reflects genuine operational transformation or strategic narrative — and how this distinction relates to financial performance in Japan's listed IT sector.
Education
Get in Touch
Currently open to opportunities in IT, finance-tech, and data-related roles in Japan. Feel free to reach out.