Larisa has received training in Physics, Computer Science and Mathematics. She completed her PhD in Statistics at Delft University of Technology focusing on the predictive modeling and sensor data-driven solutions for performance assessment and injury risk identification in overhead sports. 

Following her PhD, Larisa continued her Academic career as a Postdoctoral Researcher at Amsterdam University Medical Center. Her research focuses on cardiovascular risk prediction based on environmental data within the MyDigiTwin project. The MyDigiTwin project aims to create “digital twins” of patients’ cardiovascular health using big data and artificial intelligence in order to personalize prognosis and treatment. Additionally, Larisa collaborates with the Institute for Risk Assessment Sciences at Utrecht University on identification of environmental risk factors which may be leveraged to expand the current offerings of risk prediction tools to provide a more wholistic consideration of the patients clinical and environmental risk factors for (progressive) cardiovascular disease.

Wearable sensors

Statistical modeling

Longitudinal data analysis