Highly motivated researcher with a strong interest in medical AI, particularly in the early detection of dementia and depression. Conducted collaborative research with Keio University Hospital, exploring the application of machine learning and large language models (LLMs) in healthcare. Proficient in advanced statistical analysis to validate the reliability and utility of research findings. Dedicated to leveraging AI technologies to address critical challenges in the medical field and drive innovation.
Summary
Skills
Statistics
Japanese Statistics Certification, Level 1 (Equivalent to advanced statistical proficiency)
Programming
Python, C, Java, SQL
Building ML models
PyTorch, scikit-learn
Languages
English:
Good
Education
Keio University
Faculty of Science and Technology - Bachelor of Computer and Information Science
2021 - 2025
Graduation: Expected May 2025
Research
Thesis
The Llama 3 fine-tuning model for depression detection from conversation
Work Experience
pluszero
Internship
March 2022 - Now
Developed an app to optimize learning using textbooks by machine learning