Theodoros Zanos

Assistant Professor, Neural Decoding & Data Analytics Lab, The Feinstein Institute for Medical Research

Theodoros Zanos

Assistant Professor, Neural Decoding & Data Analytics Lab, The Feinstein Institute for Medical Research

Biography

Dr. Theo Zanos received his Bachelor of Engineering degree in Electrical and Computer Engineering from the Aristotle University of Thessaloniki in Greece in 2004. In 2006 he received his Master of Science and in 2009 his Doctorate in Biomedical Engineering from the University of Southern California, Viterbi School of Engineering. His thesis, supervised by Dr. Vasilis Marmarelis, focused on developing novel machine learning and system identification approaches for Multi-Input Multi-Output hippocampal neural circuits.

In 2009, Dr. Zanos was recruited as a postdoctoral fellow by Dr. Christopher Pack to work at the Montreal Neurological Institute (MNI), McGill, in Montreal, Canada. At the MNI, he worked on high-channel-count primate electrophysiology, estimating correlations and connections between brain areas, detecting spatiotemporal patterns and predicting signals and behaviors based on data true models. He also worked on projects involving neurostimulation experiments that manipulate single neuron firing, intracortical oscillations, connectivity between brain areas and behavior and in 2014 he became a research associate at the MNI.

In 2016, Dr. Zanos accepted a position as an Assistant Professor at the Feinstein Institute for Medical Research, where he joined the Center for Bioelectronic Medicine as the head of the Neural Decoding and Data Analytics lab. The same year he was also appointed as Assistant Professor in the Department of Molecular Medicine at the Zucker School of Medicine, at Hofstra University.