RESEARCH

Digital Epidemiology


Digital Epidemiology has the same goal as traditional epidemiology: to understand the patterns of health and disease in a population to improve public health. Unlike traditional epidemiology, however, digital epidemiology uses data that has not been generated in the healthcare system ...

Digital epidemiology

Applied Machine Learning


Machine Learning nowadays affects almost any domain. We apply Machine Learning to domains that are of interest to us, such as image recognition for plant diseases diagnosis or text understanding for health sentiment analysis. We are particularly interested to leverage recent ...

Applied ml

Health Behaviour


We study health behaviors - such as the intent to get vaccinated - using digital epidemiology methods and network thinking. Our main interested is to understand why and how certain behaviors, such as vaccination or antibiotics usage, increase or decrease in ...

Social networks