Pascal R. Deboeck

Pascal R. Deboeck is an Associate Professor of Developmental Psychology at the University of Utah, specializing in quantitative methods for analyzing intensive longitudinal data. His research develops statistical approaches for studying intraindividual change and variability in psychological processes.

Deboeck's methodological innovations include:

• Differential equation modeling of psychological regulation
• Continuous time models for longitudinal data
• Empirical Bayes derivative estimation
• Intraindividual variability analysis

His applied work examines dynamical processes in depression, attachment, chronic pain, and substance use. Current projects analyze passive sensor data for eating disorder behaviors, neurocognitive variability, and neonatal opioid withdrawal prediction.

Deboeck leads multiple NIH-funded projects developing dynamic systems approaches for clinical research. He mentors graduate students combining quantitative methods with developmental, clinical, and cognitive neuroscience research.