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Gonzalo de Polavieja



Group Leader @Champalimaud Research



Gonzalo is a senior principal investigator at Champalimaud Research, where he leads a team applying mathematics to better understand group behavior and to develop more formal approaches to learning.

He obtained his PhD in Physical Sciences from the University of Oxford, where he studied some aspects of the classical limit of Quantum Mechanics. He switched to Neuroscience as a postdoc in the Laughlin lab (Cambridge University, UK). He then moved to the Department of Theoretical Physics (UAM, Madrid) to build a neurophysiology lab. His team there developed models to understand wiring and neural coding in several species. Also, they built frameworks to study collective behaviour.

He moved to Champalimaud Research in 2015 to continue the work in group behaviour, for which his lab has created machine learning tools and models (idtracker.ai︎︎︎ and deep attention models). Since 2017, with Fernando Martin-Maroto, he has been thinking about how to build formal frameworks in which one can study learning in some mathematical detail.


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