Summary
Takahiro Komamizu is an Associate Professor at Nagoya University's Mathematical and Data Science Center with nine years of academic experience focused on spreading practical data science education across the Tokai region for undergraduates, graduate students, and working professionals. His research bridges Linked Open Data (knowledge graphs), imbalanced learning for robust AI, and legal data management—most notably developing LawLOD to make Japanese legal information more accessible and interoperable. He combines rigorous PhD-trained scholarship with hands-on system-building, connecting heterogeneous resources including images and videos to enrich LODs. Komamizu applies resampling and metric learning techniques to address real-world class imbalance challenges such as hate-speech detection. Based in Nagoya, he balances teaching, regional outreach, and applied research to turn complex data and legal texts into usable, structured knowledge. An understated strength is his focus on practical pedagogy: designing curricula that equip both students and professionals to deploy data-driven solutions.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at University of Tsukuba
English, Japanese