Holger Mohr

Holger Mohr is a Research Fellow at the Chair of General Psychology and Neuroimaging Center, Department of Psychology, TU Dresden. His research focuses on neuroimaging data analysis using machine learning, deep learning, and connectivity methods. He holds a Dr. rer. nat. from TU Dresden (2016), a Diplom in Mathematics and Psychology from TU Berlin (2009), and a Vordiplom from the University of Freiburg (2004). Mohr has held roles including Postdoc at TU Dresden since 2020 and Core Imaging Facility member of SFB 940 (2012–2020). His work spans cognitive neuroscience, psychiatric disorders, and computational modeling of neural processes.

Research interests include brain connectivity dynamics, task learning mechanisms, and neural correlates of self-control. His recent studies investigate how brain activity predicts treatment outcomes in anorexia nervosa and schizophrenia, as well as how neural networks adapt during learning tasks. Mohr collaborates widely, contributing to over 20 peer-reviewed articles since 2014. His lab integrates advanced neuroimaging techniques with computational methods to understand complex cognitive processes.

Professional experience includes systems neuroscience research at the University Medical Center Göttingen (2010–2012) and consulting at Mercer Deutschland (2009–2010). Mohr’s work is supported by interdisciplinary teams at TU Dresden’s Neuroimaging Center and collaborations with institutions like the University of Pennsylvania (Barch lab) and University of Göttingen.