Associate Professor, Center for Computational Social Science, Kobe University
I am a computational social scientist dedicated to integrating data science methods, such as machine learning, network analysis, and statistical inference, into the study of real-world social and economic phenomena. By analyzing large-scale datasets (e.g., social media content, consumer behavior logs, or mobility data), I seek to uncover evidence-based insights that inform both academic scholarship and practical solutions in business and public policy.
Before joining Kobe University, I carried out interdisciplinary research combining computer science and economics, collaborating with various companies and organizations on topics ranging from marketing analytics to user behavior modeling. My current work involves refining advanced computational techniques to address emerging challenges in an increasingly data-driven society, with particular attention to digital transformation, policy evaluation, and technology-driven innovation. I welcome inquiries about collaborative research, advisory opportunities, or speaking engagements related to computational social science. Please feel free to reach out if you are interested in exploring new ways to leverage data and analytics for impactful insights and strategic decision-making.
You can find my CV here