Hiroyuki Hanada

About

Hiroyuki Hanada is a Project Associate Professor at Nagoya University, Japan. His research areas focus on predictive pattern mining, machine learning applications in allergen-specific identification, and analysis of microbiota related to disease progression. Recent publications include work on efficient model selection, rule learning methodologies, and the statistical analysis of patterns in sports events, particularly in rugby union.