Joseph Kambeitz
Professor & Deputy Director Ai & Data Science in Mental Health @Klinikum Der Universität Zu Köln
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WORK HISTORY
Professor & Deputy Director Ai & Data Science in Mental Health @Klinikum Der Universität Zu Köln
Lead interdisciplinary projects on early intervention, digital biomarkers, and data-driven psychiatry- Applied R (mlr3) and Python (pandas, scikit-learn, sentence-transformers) to model mental health outcomes- Built and adapted simulation frameworks using LangChain and OpenAI API to explore behavioral trajectories in virtual patients- Integrated NLP tools and generative AI into experimental psychiatry workflows- Published >100 peer-reviewed articles on AI, precision medicine, and digital psychiatry- Supervised teams of researchers and data scientists across psychiatry, computational modeling, and digital health- Advised on data pipelines, preprocessing strategies, and model interpretability for research and clinical trials
EDUCATION
Ludwig-Maximilians-Universität München
Diploma, Psychology
Ludwig-Maximilians-Universität München
MD, Medicine
University of Cologne Business School
Healthcare Management
SKILLS
ABOUT JOSEPH KAMBEITZ
I’m a psychiatrist and medical researcher with 10+ years of experience in data science, machine learning, and simulation modeling applied to mental health.My work focuses on building interpretable and scalable models of health outcomes using methods ranging from classical statistics to LLM-powered simulations and NLP. I routinely work with tools like Python, R, LangChain, sentence-transformers, and generative agents to understand complex behavioral phenomena and improve predictive modeling in psychiatry.Currently exploring new collaborations and sharing insights with professionals across AI research, digital health, and scientific computing.
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