Christoph Hoog Antink (Member, IEEE) received the M.S. degree in mechanical engineering from the University at Buffalo, USA, in 2011, and the Dipl.Ing. and Dr.Ing. (Ph.D.) degrees in electrical engineering from RWTH Aachen University, Germany, in 2012 and 2018, respectively. Until 2020, he was the Head of the Medical Signal Processing Group at the Chair for Medical Information Technology, RWTH Aachen. Since then, he is an Assistant Professor (tenure track) and the Head of KIS*MED (AI Systems in Medicine Laboratory), TU Darmstadt, Germany. His research interests include unobtrusive sensing of vital signs, sensor fusion, and machine learning in medicine.