Summary
Hidetoshi Shimodaira is a professor of statistics and machine learning with over two decades of academic and research experience spanning Kyoto University, RIKEN, Osaka University, and Tokyo Institute of Technology. He holds a Ph.D. in Mathematical Engineering and Information Physics from The University of Tokyo and has blended deep theoretical work with applied statistical science across genetics, AI, and systems science. As former team leader of the Mathematical Statistics Team at RIKEN AIP, he has steered interdisciplinary research that connects mathematical foundations to practical machine learning problems. His career includes international research stints at Stanford and the University of Washington, reflecting a long-standing engagement with global research communities. Known for rigor and breadth, he often brings insights from mathematical engineering into modern inference and model evaluation challenges. Based in Kyoto, he combines academic leadership with hands-on mentorship of the next generation of statisticians and ML researchers.
11 years of coding experience
13 years of employment as a software developer
University of Tokyo
English, Japanese