Dr. ir. Thomas De Cooman obtained his Master of Science in Computer Science from Ghent University and later earned his PhD in Engineering Science from KU Leuven, with a dissertation on Epileptic Seizure Detection in a Home Environment. His doctoral research focused on detecting epileptic seizures through heart rate analysis using signal processing and machine learning techniques. Following his PhD, he continued as a Postdoctoral Researcher at KU Leuven and later joined Cerence as a Research Scientist. Since 2022, he has been working as a Data Scientist at FibriCheck, where he is responsible for developing medical-grade deep learning applications for photoplethysmography (PPG) data.