Dr. Theo Zanos is the head of the Division of AI in Health, Quantitative Intelligence at Northwell Health, and an Associate Professor at the Institute of Health System Science and Institute of Bioelectronic Medicine, at the Feinstein Institutes for Medical Research and the Zucker School of Medicine, Hofstra Northwell. He received his Engineering diploma in Electrical and Computer Engineering from the Aristotle University of Thessaloniki in Greece, his MSc and PhD in Biomedical Engineering from the University of Southern California and postdoctoral training at the Montreal Neurological Institute at McGill. His current research focuses on developing and applying machine learning methods on multimodal healthcare, neural and physiological data to enable early diagnosis, disease severity assessment, and personalization and adaptability of therapies. To that end, his lab focuses on combining machine learning methods with multiple healthcare data modalities (Electronic Health Records, continuous vitals, imaging, unstructured notes) to develop and deploy clinical predictive and diagnostic models. He has been awarded multiple federal and industry grants, totalling >$10M of external funding, and published >50 peer-reviewed papers with >10k citations. His research has been featured in PBS, Scientific American, CNET and other media outlets and he has been awarded twice the Northwell Excellence in Research Award, finalist in Fast Company’s World Changing Ideas in AI, finalist in Northwell’s Innovation Challenge, the Jean Timmins Award and the Center of Excellence in Commercialization and Research Award.