Hi! I’m Guille
I’m a PhD student at EPFL working under the supervision of Pascal Frossard. My research focuses on the empirical understanding of AI systems by studying different phenomena in deep learning. I am particularly interested in making large pre-trained models more reliable and trustworthy.
Last summer, I was a research intern at Google Research in Zurich, where I worked with Efi Kokiopoulou and Rodolphe Jenatton on scalable solutions for label noise. I have also 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 where I worked on sampling theory for tensors and graphs at TU Delft. I also spent some great time in Hamburg at Philips Research working on self-supervised deep learning for medical imaging. Some time ago, I was a young undergraduate student at Universidad Politecnica de Madrid.
Interests
- Deep learning science
- Trustworthy AI
Education
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PhD in Machine Learning, Ongoing
École Polytechnique Fédérale de Lausanne
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MSc in Electrical Engineering, 2018
Delft University of Technology
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BSc in Telecommunications Eng., 2015
Universidad Politécnica de Madrid
