Summary
Daisuke Yoneoka is a biostatistician and machine learning researcher with 11 years’ experience applying advanced statistical methods to medical big data, infectious diseases, and climate-linked health risks. Currently a准教授 at the University of Tokyo and leading the statistics and machine learning lab at the Japan Institute for Health Security, he develops novel ML and statistical tools for personalized medicine and epidemiology. He earned a Ph.D. in Statistics from SOKENDAI and completed postdoctoral work at St. Jude Children’s Research Hospital and ETH Zurich, combining rigorous theory with high-impact applied studies. Comfortable bridging mathematics, public health, and policy, he has hands-on experience analyzing large clinical and disaster-related datasets (including Fukushima screening data). Outside academia he’s known for a blend of curiosity and practicality—equally at home discussing probabilistic models, a good baseball game, or where to find the best beer.
11 years of coding experience
6 years of employment as a software developer
Master of Science (MSc), Global health, Epidemiology, Master of Science (MSc), Global health, Epidemiology at 東京大学 / The University of Tokyo
Doctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at 総合研究大学院大学