Gerald C. Hsu received an
honorable PhD in mathematics and majored in engineering at MIT. He attended
different universities over 17 years and studied seven academic disciplines. He
has spent 20,000 hours in T2D research. First, he studied six metabolic
diseases and food nutrition during 2010-2013, then conducted research during
2014-2018. His approach is “math-physics and quantitative medicine” based on
mathematics, physics, engineering modeling, signal processing, computer
science, big data analytics, statistics, machine learning, and AI. His main
focus is on preventive medicine using prediction tools. He believes that the
better the prediction, the more control you have