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, utilizing machine-learning techniques to classify the recorded spikes as somatic or axonal.
After joining OIST, I became interested in more applied environmental AI and Biodiversity Informatics. I stayed at the Biodiversity and Biocomplexity Unit with Prof. Evan Economo for about four years, where I got the opportunity to contribute to large-scale projects such as Antmaps and OKEON. I am currently at the Biological Physics Theory Unit, working with Prof. Greg Stephens, where I manage and create opportunities for applying theoretical innovations in AI to problems of big societal impact.
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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OIST Innovation Proof of Concept Grant (2025)
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NVidia Academic Hardware Grant (2019)
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Best Poster Award in Engineering Field at the Noyori Summer School (2014)
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RIKEN International Program Associate PhD Scholarship (2012)
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European Study Program in Neuroinformatics (2011)