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Beschreibung
Dr. Yannik Terhorst is a researcher at the forefront of clinical psychology and medicine, specializing in integrating and exploring diagnostics and treatment with technological innovations such as mobile computing, artificial intelligence, and digitalization. He earned his doctoral degree with summa cum laude at the University of Ulm, where he completed his dissertation “Digital Mental Health Care: From Smart Sensing and Machine Learning Classifiers to Digital Therapy” (2020–2024), and is currently advancing his research as a postdoctoral fellow at LMU Munich.
Forschungsinteressen
His core research objective is to investigate how innovative digital and methodological approaches can enhance healthcare from screening and diagnosis to treatment. His projects range from smart sensing-based diagnostic techniques (e.g., using digital behavioral and biophysiological markers), optimization of traditional screening and diagnostic procedures using artificial intelligence (AI; e.g., machine learning optimized screening or Large Language Models in assessment and screening), over advanced assessment methods (e.g., computer-adaptive tests) to internet- and mobile-based interventions (e.g., in prevention, treatment, or aftercare) and implementation research in the context of these technological innovations.

He currently leads the Phone Study project at LMU and is part of major research networks such as the German Center for Mental Health (DZPG) and the POKAL Graduate College at LMU. He is also centrally involved in and co-founded several key projects and infrastructures, including the Mobile Health Application Database, the Database for Mobile Sensing Studies (DAMOS), RehaCAT, and SysDOK.