Theo Zanos, PhD is the head of the Neural and Data Science Lab and an Assistant Professor at the Feinstein Institutes for Medical Research and the Zucker School of Medicine, Hofstra Northwell.
He received his Bachelor of Engineering degree in Electrical and Computer Engineering from the Aristotle University of Thessaloniki in Greece in 2004, his Master of Science and his Doctorate in Biomedical Engineering from the University of Southern California, Viterbi School of Engineering in 2006 and 2009 respectively. His graduate research focused on developing machine learning and system identification approaches for Multi-Input Multi-Output hippocampal neural circuits.
In 2009, Dr. Zanos was recruited as a postdoctoral fellow at the Montreal Neurological Institute (MNI), McGill, in Montreal, Canada, combining high-channel-count primate electrophysiology with machine-learning based neural data analysis methods to relate neural activity to behavior and cognition. In 2016, Dr. Zanos joined the Institute of Bioelectronic Medicine at Feinstein.
His current research focuses on developing neural data analysis tools and neurophysiology recording and stimulating methods, to understand and modulate central and peripheral neuronal circuit function, in order to develop devices that interface with the nervous system and diagnose and treat disease. Dr. Zanos has authored 21 peer-reviewed publications in journals like Neuron, PNAS, Journal of Neuroscience and others and his research has been featured in PBS, Scientific American and other media outlets.
Dr. Zanos was awarded the Excellence in Research Award in 2018, the Jean Timmins Award in 2012 and the Center of Excellence in Commercialization and Research Award in 2010.