Panteleimon is a Ph.D. researcher and cardiology resident (focus on electrophysiology and arrhythmology) at the National and Kapodistrian University of Athens, Greece. He holds an M.D. from the Aristotle University of Thessaloniki and an M.Sc. in Data Science from Stockholm University, Sweden. His academic and clinical interests lie at the intersection of cardiology, arrhythmias and artificial intelligence. Currently, his Ph.D. research focuses on developing AI models for the early prediction of cardiac arrhythmias using few-lead ECG recordings. He has authored over 30 peer-reviewed publications, while some of his research projects have been awarded in international events and congresses. He is also actively involved in academic societies, currently serving as a Nucleus Member of the European Society of Cardiology Working Group on e-Cardiology.

Through the Fulbright Visiting Research Student Program, he will spend four months conducting research at a U.S. academic institution, further developing and validating neural network architectures for arrhythmia prediction. His goal is to gain technical expertise, foster transatlantic collaborations, and eventually establish a multidisciplinary research hub in Greece that advances AI-driven solutions in cardiovascular medicine.