About
My main interest is in neural networks (both artificial and real), deep learning, and software development, but I have a wide-range of side-interests as well, such as evolutionary algorithms, Wikis, and productivity tools.
My PhD thesis was focused on the classification of electrical activity patterns exhibited by cortical neurons in-vitro. Before moving to a deep learning engineer position, I was a research computing engineer at the Biodiversity and Biocomplexity Unit in OIST, where I got the opportunity to contribute to large-scale projects such as Antmaps and OKEON. Working on critical, production-level systems has also provided me with additional skills in software development; skills that I now use daily as a deep learning engineer.
Education
Doctor of Philosophy in Frontier Biosciences
Osaka University, Japan
September 2015
Master of Science in Electrical Engineering
Twente University, The Netherlands
January 2011
Bachelor of Science in Electronic Engineering
A.T.E.I. Thessalonikis, Greece
May 2008
Thesis: Comparison of somatic and axonal spike shape features in cortical neurons grown on high-density microelectrode arrays
Thesis: Development of an 11,000-electrodes
microelectrode array system for neural network recording
Thesis: Optimization methods for automated electronic/electromagnetic design
Awards
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NVidia Academic Hardware Grant
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RIKEN International Program Associate PhD Scholarship
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European Study Program in Neuroinformatics
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Best Poster Award in Engineering Field at the 2014 Noyori Summer School