Agnese Sbrollini is a postdoc fellow of the Department of Information Engineering, Università Politecnica delle Marche. She teaches the course “Cognitive computation in physiology and medicine” for the master’s degree in biomedical engineering. She worked as a consultant for the Department of Information Engineering, Università Politecnica delle Marche. She was a Consortium GARR fellowship student (from November 2018 to October 2020) and coordinated the project “In-cloud cardiovascular monitoring system for the prevention of sport-related sudden cardiac death” as principal investigator.  She received a PhD in information engineering in March 2019 at Università Politecnica delle Marche with a thesis entitled “Biostatics of cardiac signals: theory and applications.”  She received a master’s degree in biomedical engineering at Politecnico di Torino (December 2014) and a bachelor’s degree in biomedical engineering at Università Politecnica delle Marche (October 2012).  Her main research activities are focused on the application of biostatistics (standard and advanced) on cardiovascular signals, specifically supporting clinical practice in fetus and newborn monitoring, atrial fibrillation identification, and sport-related sudden cardiac death prevention.