Summary
Shogo Hayashi is a data scientist and product-minded researcher based in Tokyo with nine years of experience bridging academic ML research and industry practice. He holds a Ph.D. in Informatics from Kyoto University and has published on Bayesian optimization, change-point detection, and time-series forecasting in reputable journals and conferences. His career spans RIKEN, NEC, a Max Planck internship, and now BizReach, where he translates advanced probabilistic methods into product-impacting solutions. Notably, his work on Bayesian optimization with partially specified queries demonstrates a knack for making theoretical ideas practical, and he has experience securing competitive fellowships and international placements.
9 years of coding experience
4 years of employment as a software developer
Master's degree, Computer and Information Sciences, General, Master's degree, Computer and Information Sciences, General at 大阪大学
博士, Computer Science, 博士, Computer Science at 京都大学