Georgios completed his undergraduate studies in the Mathematics department of the Aristotle University of Thessaloniki. After that, he joined the M.Sc. program in Computational Science at the Department for Theoretical Physics of Frankfurt University with a specialization on Machine Learning and Computational Neuroscience. His doctoral research was supported collaboratively by Prof. Dr. Roland Memisevic at the University of Frankfurt (2012-2013), Prof. Dr. Bruno Olshausen at the Redwood Center for Theoretical Neuroscience at UC Berkeley (2013-2014), and Prof. Dr. Jörg Lücke at the University of Oldenburg(2014-2016). As a result, he received the degree of Dr. rer. nat. from the University of Oldenburg on 01.11.2016. He worked as postdoctoral researcher at Prof. Dr. Stephane Mallat’s DATA team at École Normale Supérieure. Currently, he works at institut de la vision.
His research interests revolve around sparse coding, graphical models, deep learning, and theoretical neuroscience. He has studied their applications primarily on spike sorting, receptive field estimation, quantum chemistry, and natural image statistics.
Dr. rer. nat. in Machine Learning, 2016
Carl von Ossietzky University of Oldenburg
M.Sc. in Computational Science, 2012
Goethe University Frankfurt
Dimploma in Mathematics, 2008
Aristotle University of Thessaloniki
For the teaching resources visit the website of the Machine Learning team in Oldenburg.
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