Fylaktis Fylaktou

“We’re all stumbling in the dark and that makes for some very interesting collisions.”

Marty Rubin

About Fylaktis Fylaktou

Fylaktis Fylaktou is an interdisciplinary researcher and entrepreneur based in Queens, New York, specializing in biomedical engineering, machine learning and educational outreach. At Northwell Health, he leads investigations into neural, cardiac and physiological biomarkers of PTSD; his work has produced first-of-its-kind evidence of altered heart–brain interactions, and machine-learning classifiers achieving 93% diagnostic accuracy with a mean absolute error of 0.7 in predicting disease severity. He also co-developed real-time EEG analysis techniques to differentiate autonomic responses and is coordinating trials for a novel neurostimulation device, working across clinical, engineering and data-science teams.

Beyond the lab, Fylaktis co-founded Recreate, a STEM education initiative that has delivered robotics and coding programs to more than 1,000 students throughout Greece. By partnering with schools, non-profits and industry, he helped grow enrollment by roughly 20% every two months and built a high-performing team to scale the program’s impact. He has also served as a business-analyst intern at Epagon VC, building a database of over 125 social-impact tech startups and advising on investment decisions, and as a robotics software-engineering intern, developing advanced control algorithms and 3D models for robotic arms.

He has authored multiple peer-reviewed publications, including “Multimodal Machine Learning Models for Detection of PTSD Presence and Severity,” “Blunted Cortical Heartbeat Responses During Autonomic Stress in PTSD,” and “Prediction of Neurostimulation Treatment Response in Drug-Resistant Epilepsy.” His findings have been presented at major conferences such as the ISTSS Annual Meeting (2023), the Biomedical Engineering Meeting (2024 and 2025) and IEEE BMS (2025). His leadership in the IEEE Engineering in Medicine and Biology Society helped his chapter earn the Best EMBS Branch in Europe award. Fylaktis holds a Ph.D. in Molecular Medicine from Hofstra University and an MEng in Electrical and Computer Engineering from NTUA, and he remains passionate about applying data science, machine learning and neuroscience to improve human health and inspire the next generation of innovators.