PhD student at the Empirical Inference Department at the Max Planck Institute (MPI) for Intelligent systems (Tübingen). I'm interested in probabilistic modelling and reinforcement learning. In particular, I am working with Bernhard Schölkopf on learning models of the world which are invariant across different domains, and using them to devise sample-efficient learning algorithms that can be ultimately applied in real settings (e.g. robot platforms). Before joining the MPI I did both my Bachelors and Masters at the Universidad Tecnológica de Pereira (Colombia) where I worked with Mauricio Alvarez in the probabilistic representation of movement primitives using Gaussian Processes.

Aside of my main research interests, I am also interested in different broad aspects of computing such as algorithms design, software engineering and competitive programming.