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.
Summary
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
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