[Recent learning activities ]
August 2025 – Present
Currently participating in the Google Cloud GenAI Skillup Japan program.
May 2025 – August 2025
I participated in the Google Cloud Campus program, where I attended online hands-on lectures and earned skill badges through self-study.
Completed multiple hands-on labs and earned several Skill Boost badges, enhancing my practical knowledge of cloud infrastructure, data engineering, and machine learning on Google Cloud.
April 2025 – September 2025
I completed the “Practical Marketing Analytics (実践マーケティング分析)” course offered by "Suugaku Bunka", where I studied a wide range of practical marketing analytics theories, including A/B testing and marketing mix models (MMM).
[Japan Mathematical Olympiad]
January, 2003
Qualified for the final round (Ranked 133 out of 1,167 participants).
This experience sparked my early passion for mathematical theory and problem solving.
[学生プロジェクト(Student Research Projects (2011–2014))]
During my graduate studies, I actively led and participated in student-driven mathematical research initiatives. These projects involved organizing international academic exchanges and inviting leading researchers for intensive seminars.
April 2011 – March 2012
Project Leader: Dixmier-Douady類に対するChern-Weil理論の展開 (Chern–Weil Theory for Dixmier–Douady Classes)
April 2012 – March 2013
Project Leader: gerbeを用いた指数定理の発展 (Index Theorems via gerbes)
April 2013 – March 2014
Project Member: 作用素環のK群を用いて一般化された index problem (Generalized Index Problems Using K-Theory of Operator Algebras)
These projects enhanced not only my mathematical depth but also my leadership, planning, and communication skills.
[Other Initiatives and Learning]
May 2021 – September 2021 / January 2022 – April 2022
Attended DMM Online English courses to further improve professional English communication skills.
September 2019 – December 2019
Organized and facilitated a study group on statistics and machine learning at Kogakuin University.
December 2018 – March 2019
Completed an online AI fundamentals course at Aidemy, covering machine learning and data engineering foundations.