Assistant Research Fellow at MTA-SZTE Research Group for Cortical Microcircuits
Szeged, South Great Plain, Hungary
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Sándor Bordé is an Assistant Research Fellow and PhD candidate in Artificial Intelligence with 14 years of experience applying algorithmic and statistical methods to electrophysiological data from freely moving animals. He builds and implements signal-processing and analysis pipelines in Matlab/Octave—ranging from wavelet-based time-frequency decompositions to event cross-correlations—and has developed an unsupervised neuron classifier to identify discriminative feature combinations. With a background in web and frontend development (Silverlight, JavaScript/jQuery) and multithreaded simulator extensions in Java, he bridges practical software engineering and quantitative research. He has taught programming, web development, and networking courses at the University of Szeged since 2009 and coordinates undergraduate teaching efforts. His master’s work on online signature verification and a Udacity nanodegree in data analysis underscore a longstanding interest in applied pattern recognition and statistics. Based in Szeged, Hungary, he combines academic rigor with hands-on tool-building to turn complex neuroscience data into reproducible insights.
14 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Artificial Intelligence, Doctor of Philosophy (Ph.D.), Artificial Intelligence at Doctoral School of Computer Science, University of Szeged
Data Analyst Nanodegree, Statistics, Data Analyst Nanodegree, Statistics at Udacity
Master’s Degree, Software Information Technologist, Master’s Degree, Software Information Technologist at University of Szeged
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Sándor Bordé - Assistant Research Fellow at MTA-SZTE Research Group for Cortical Microcircuits