I’m a Research Scientist at Meta AI Research, Paris, France. Prior to joining Meta in 2016, I received my PhD from the Max Planck Institute for Intelligent Systems and the University of Cambridge, advised by Bernhard Schölkopf and Zoubin Ghahramani. Before that, I obtained a degree in computer science from the Universidad Autonoma de Madrid in 2011. During my studies, I interned at various industries, including the European Space Agency, Google Research and the Red Bull Formula 1 team.
The goal of my research is to develop theory and algorithms for unsupervised causal inference, and their use to build machines which are able to reason and learn about the world using less data.
Learning theory, causal inference, nonconvex optimization, un/semi/supervised learning and new learning paradigms