Felipe Maturana Mattioni

Glucose is the body’s main energy source, and its regulation is key for metabolic health and longevity. Under normal conditions, glucose is tightly regulated in healthy individuals. However, glucose may present high degrees of variability during exercise, and it is the primary energy source during a high-intensity workout. The advance of continuous glucose monitoring (CGM) technologies in recent years, and its application in non-diabetic populations, have been providing valuable insights on the individuality of glucose regulation, especially during exercise. CGM can be used to tailor nutrition strategies, timing of food intake around a workout, and resting glucose control, to cite a few. In this presentation we will go over these aspects and perform a hands-on data analysis on CGM data.

I am a Ph.D. candidate in Exercise Physiology, and a full-time Data Scientist at Supersapiens. My Ph.D. project was on individual cardiovascular responsiveness to high-intensity interval training and moderate-intensity continuous training in sedentary healthy individuals. I currently devote most of my time in the Science Team at Supersapiens developing external and internal data dashboards, data analyses and reports, as well as implementing workflow automation on CGM data. My main interests are exercise physiology, sports science, glucose control during exercise, data science, and programming.