Machine Learning Research

Our group's machine learning research focuses on the topics of multimodal data integration, structure detection, longitudinal data analysis, representation learning and trustworthy (or transparent) models. Read more about it here.

Biomedical Research

Our medical research focuses on the analysis of clinical data such as medical images and ultrasound videos, Electronic Health Records, data from wearable devices, and lab test data, among others. The ultimate goal is to develop and employ the computational and statistical tools that are necessary to enable personalized medical treatment of patients. Read more about it here.

Clinical Decision Support Tools

Our group also uses the results of our research to develop, implement, and disseminate decision support tools that address relevant clinical problems, such as early neonatal jaundice detection, or pediatric appendicitis. This interdisciplinary research is typically carried out jointly with medical experts and practitioners. Read more about it here.