Pau Aceituno
Postdoctoral Researcher at ETH Zürich
Zurich, Zurich, Switzerland
Summary
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Senior🎓
Top SchoolPau Aceituno is a postdoctoral researcher based in Zurich who blends theoretical neuroscience and machine learning to uncover mathematical principles of neural computation. With nine years of experience spanning random matrix theory, reservoir computing, and biologically plausible learning rules, he derives proofs and models that connect single-cell dynamics to hierarchical learning architectures. His background includes applied work in space robotics, embedded systems, and C-based software development, giving him a rare combination of rigorous theory and practical engineering. At ETH Zürich he models calcium dynamics and navigation-related time series, while mentoring PhD students and shaping curriculum through the Max Planck School. He has a knack for revealing non-obvious structure—evidenced by a novel high-order generalization of the elliptic law—and pursues hands-on crafts like woodcarving and hiking outside the lab.
9 years of coding experience
5 years of employment as a software developer
Masterthesis and Exchange, Informatics, Masterthesis and Exchange, Informatics at Karlsruhe Institut für TechnologieDiploma (equivalent to BSc. + MSc.), Telecommunications, Diploma (equivalent to BSc. + MSc.), Telecommunications at Institut national des Sciences appliquées de LyonExchange, Computer Science, Exchange, Computer Science at 연세대학교 / Yonsei UniversityDoctor of Philosophy - PhD, Reservoir Computing, Random Matrix Theory, Biological Learning, Summa Cum Laude, Doctor of Philosophy - PhD, Reservoir Computing, Random Matrix Theory, Biological Learning, Summa Cum Laude at Max Planck Institute for Mathematics in the Sciences
Spanish, English, French, German, CatalanGithub contributions (5)
pvili/EchoStateNetworks_NetworkAdaptation
Apr 2018 - Mar 2020
Contributions:29 commits, 27 pushes, 2 branches in 1 year 11 months
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