Summary

A highly motivated researcher with a strong background in applying artificial intelligence to address real-world challenges in the healthcare industry. Collaborated with Keio University Hospital to investigate the use of machine learning and large language models (LLMs) for the early detection of dementia and depression—critical areas with significant societal and economic implications. Proficient in advanced statistical analysis, ensuring the robustness and practical relevance of research outcomes. Passionate about bridging the gap between cutting-edge AI technologies and their scalable application across industries such as healthcare and financial services. Dedicated to developing data-driven innovations that enhance quality of life and deliver meaningful business value.

Skills

  • Statistics

    Japan Statistical Society Certificate, Grade 1 (Equivalent to advanced statistical proficiency)

  • Programming

    Python, C, Java, SQL

  • Building ML models

    PyTorch, scikit-learn

  • TOEFL

    Score: 90

Languages

Language

English

Good

Education

Keio University

Faculty of Science and Technology - Bachelor of Computer and Information Science

2021 - 2025

Keio University

Faculty of Science and Technology - Master of Computer Science

2025 - 2027

University of California, Davis

Electrical and Computer Engineering - Visiting Scholar

2025 - 2026

I will be engaged in research at UC Davis as part of the Aspire project

Research

Thesis(EMBC)

Efficient and Effective Fine-tuning Method for Depression Detection from Conversation

Work Experience

pluszero

Internship

March 2022 - Now

Developed an app to optimize learning using textbooks by machine learning