Summary
Takahiro Kawashima is a research-focused data scientist with nine years of experience bridging statistical theory and applied machine learning, currently serving as a visiting researcher at the Institute of Statistical Mathematics and a research scientist at ZOZO NEXT. He holds a Ph.D. in Statistical Science and works at the intersection of Bayesian modeling, kernel methods (including Gaussian processes), and medical ML applications, drawing on a background in electronics and computer science. Comfortable in Julia, R, Python, and Stan, he combines academic rigor from SOKENDAI with hands-on research roles at national medical and industry labs. His profile reflects a rare blend of neuroscience-oriented applied research and probabilistic modeling expertise, positioning him to translate complex statistical methods into impactful, domain-specific solutions.
9 years of coding experience
5 years of employment as a software developer
Master of Engineering, Informatics, Master of Engineering, Informatics at 電気通信大学
Ph.D., Statistical Science, Ph.D., Statistical Science at The Graduate University for Advanced Studies, SOKENDAI
Associate Degree of Engineering, Electrical and Electronics Engineering, Associate Degree of Engineering, Electrical and Electronics Engineering at Kobe City College of Technology