Dániel Terbe received his B.Sc. degree in physics with theoretical physics specialization from Eötvös Loránd University (ELTE) and his M.Sc. degree in info-bionics engineering from the Faculty of Information Technology and Bionics of Péter Pázmány Catholic University (PPKE-ITK). He has been an employee at Institute for Computer Science and Control (SZTAKI), Budapest, Hungary, since 2017. His research interests include the application of computer vision and machine learning, especially deep learning techniques for solving medical problems. He is currently active in the field of remote, video-based photoplethysmography (rPPG).