The author 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 ~30,000 hours in endocrinology research with an emphasis in diabetes. First, he studied six metabolic diseases and food nutrition from 2010 to 2013, then conducted his own diabetes research from 2014 to 2019. His approach is “quantitative and precision medicine” based on mathematics, physics, optical and electronics physics, engineering modeling, wave theory, energy theory, signal processing, computer science, big data analytics, statistics, machine learning, and artificial intelligence. His main focus is on preventive medicine using prediction tools. He believes that the better the prediction, the more control you have. Thus far, he has written, published, and presented more than 200 medical papers.

Diabetes, Metabolism, Cardiology, Endocrinology, Mathematics