Focusing primarily on baseball and other sports involving complex, high-speed physical movements, we aim to elucidate the mechanisms that enable human athletes to achieve higher performance and develop new evaluation parameters of value to athletes, using approaches rooted in mathematics and physics. Building on a foundation of mechanics, we will actively incorporate signal processing and machine learning techniques to generate innovative research findings and pursue industrial applications. While our research has primarily focused on pitching motions to date, we will also conduct research on batting motions, pursuing a “two-pronged” approach. In addition, prior to joining the university faculty, I spent 13 years at a sports equipment manufacturer developing measurement devices such as sensor-embedded baseball. I am committed to proposing not only “data for research” but also “metrics that are useful to athletes and coaches in the field.”