Workshop: Predictive modeling of clinical trajectories in JMP (April 1, 2025)
Workshop: Predictive modeling of clinical trajectories in JMP (April 1, 2025)
I have always been fascinated by mathematical and computational methods and their wide range of applications. At the same time, human behavior presents a captivating complexity, offering countless opportunities to apply these methods across diverse fields. With a background spanning statistics, mathematics, and psychology, and experience in projects utilizing diverse methodologies (e.g., surveys, performance data, and EEG), I joined the Center for Neurocognitive Modeling (CNM) to broaden my perspective and contribute to interdisciplinary research alongside a vibrant team of researchers and practitioners.
I completed my PhD in 2023 at the University of Wuppertal, where I focused on enhancing data analysis techniques in the field of forced-choice modeling. My recent work emphasizes developing and applying statistical methods and data-driven models across various domains, including predicting responses in assessments, detecting and classifying malingering, and designing psychological tests.