I’m a PhD student at EPFL working under the supervision of Pascal Frossard. My research focuses on understanding deep learning with the aim to design better and more reliable neural networks that exploit prior knowledge about the world.
Last summer, I was a research intern at Google in Zurich, where I worked with Efi Kokiopoulou and Rodolphe Jenatton. In spring 2022, I visited Philip Torr’s lab at the University of Oxford as part of the ELLIS PhD Program, where I conducted research on the robustness of neural networks.
Before starting my PhD, I lived in The Netherlands for two years, where I worked on sampling theory for tensors and graph data at TU Delft. In the past, I also spent some great time at Philips Research in Hamburg working on self-supervised deep learning for medical imaging. Some time ago, I was an undergraduate student at Universidad Politecnica de Madrid, Spain.
PhD in Machine Learning, Ongoing
École Polytechnique Fédérale de Lausanne
MSc in Electrical Engineering, 2018
Delft University of Technology
BSc in Telecommunications Eng., 2015
Universidad Politécnica de Madrid
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