I use the pronouns he/él/il.
I am a postdoctoral researcher at Mila - Quebec Artificial Intelligence Institute, in Tiohtià:ke / Montréal, working with Prof. Yoshua Bengio and Prof. David Rolnick, since December 2020. I defended my PhD thesis in 2020 at the University of Osnabrück, which I started in 2016 with Prof. Peter König, as a fellow of the Marie Sklodowska-Curie ITN NexGenVis. I obtained my B.Sc and M.Sc. at the University Carlos III of Madrid and I have been a visiting PhD student at the University of Cambridge with Dr. Tim Kietzmann and at the Spinoza Center for Neuroimaging with Dr. Serge Dumoulin.
At Mila, I research applications of machine learning to fight climate change. With Victor Schmidt, Sasha Luccioni and larger wonderful team, I helped create ThisClimateDoesNotExist.com, a website to help us visualise the impacts of climate change in our own backyard. Currently, my focus is on accelerating scientific discovery with machine learning. In particular, I am working on electrocatalyst design to improve the energy efficiency of hydrogen storage and other energy-intensive industrial processes, and on DNA aptamer design to develop better sensors.
Besides developing potentially impactful machine learning applications, I am also interested in brain-inspired deep learning and computational neuroscience. I believe that machine learning and neuroscience can highly benefit each other and I am interested in exploring and exploiting their synergies.
Besides my research, I am a strong proponent of open science in the broadest sense, and I try to contribute to it with my actions and by getting involved in discussions about how to make science more inclusive, equitable, open, reproducible, transparent and environmentally conscious. Recently, I helped co-organise a workshop on pre-registration in machine learning at NeurIPS 2021. At Mila, I am a Lab Representative and a member of the Equity, Diversity and Inclusion Committee.