株式会社 NTTデータ数理システム ー NTT DATA Mathematical Systems Inc.

Research Engineer, Data Mining Division
Apr. 2021 – Mar. 2024

Chief Research Engineer, Data Mining Division
Apr. 2024 – Oct. 2026

Chief Research Engineer, Consulting Promotion Office
Nov. 2026 – Present.

My work connects statistical methodology with practical decision-making through analytical consulting, software development, and AI workflow design. Drawing on my research in statistical machine learning and causal inference, I translate business questions into analytical approaches and tools that people can understand and use.

Statistical Modeling and Analytical Consulting

• Lead analytical projects from problem formulation and requirements definition through modeling, interpretation, and reporting.

• Help clients clarify what they want to learn from their data, select appropriate methods, and interpret findings in light of the underlying assumptions and limitations.

Statistical Software Development and UX Design

• Design, implement, and maintain statistical and machine learning components for data analysis software.

• Led the front-end architecture and UX design of BayoLinkS’s Causal Mapping feature, enabling users to express domain knowledge visually and specify constraints for Bayesian network structure learning.

• Apply user research and object-oriented UI design to make analytical concepts accessible through coherent software interactions.

Generative AI and AI Agent Development

• Lead proof-of-concept projects from stakeholder discussions and use-case definition to technical design and prototype development.

• Develop applications that combine generative AI, retrieval-augmented generation, and analytical tools to support knowledge-intensive tasks.

• Design AI-assisted workflows for planning and evaluation, defining how data analysis, domain knowledge, and human review contribute at each stage.

Teaching and Knowledge Transfer

• Develop and deliver statistics and machine learning training, connecting methodological foundations with practical applications.

Apr., 2024 – (Present)

Graduate School of Mathematics,
Kyushu University, Japan.

Advisor: Prof. Shuichi Kawano

Apr., 2019 – Mar., 2021

Department of Computer and Network Engineering, Graduate School of Informatics and Engineering,
The University of Electro-Communications, Japan.

Degree: Master of Engineering (as valedictorian in the department)

Advisor: Assoc. Prof.  Shuichi Kawano

Dissertation: Tensor Common Component Analysis based on Kronecker Product Representation

Apr., 2015 – Mar., 2019

Department of Communication Engineering and Informatics, Faculty of Informatics and Engineering,
The University of Electro-Communications, Japan.

Degree: Bachelor of Engineering 

Advisor: Assoc. Prof.  Shuichi Kawano

Dissertation: リーマン多様体上における多変量低ランク回帰モデルの推定

Apr., 2012 – Mar., 2015

Tokyo Metropolitan Kunitachi Senior High School (東京都立国立高等学校)

My research interests center on causal inference and statistical methods for understanding latent structure in data.

• Causal Inference: Causal inference with multiple versions of treatment and unobserved treatment heterogeneity.

• Latent Variable and Mixture Models: Statistical modeling of latent structure, including mixture-of-experts models.

• Multivariate Analysis and Dimension Reduction: Methods for identifying low-dimensional structure in multivariate and tensor data.