Ricardo Vilalta

Science Collaboration(s): 
Informatics and Statistics (ISSC)

Our research laboratory intends to provide state-of-the-art techniques in analyzing scientific data, emphasizing the use of machine learning to analyze astrophysics data—the laboratory centers mainly on developing machine learning tools tailored to astrophysics and cosmology problems. Specifically, we aim at developing physics-informed machine learning models that incorporate domain knowledge as bias into the induction of predictive models. We consider specialized deep neural networks and differential equations as part of the model-building process.