معرفی
Jonathan J. Park is an Assistant Professor of Quantitative Psychology in the Department of Psychology at the University of California, Davis. He holds a PhD in Human Development and Family Studies with a focus on Quantitative Methods from Pennsylvania State University. His research emphasizes modeling heterogeneity in dynamic networks, particularly addressing challenges in identifying patterns across individuals' fluctuating behaviors and mental health states like depression. He investigates how statistical modeling choices (e.g., multilevel vs. person-specific models) influence conclusions about individual similarities and differences. His lab explores the impact of modeling decisions on multi-subject time-series analyses, focusing on continuous vs. discrete-time methods, and develops classification algorithms using fuzzy statistics and clustering principles.
Key research areas include dynamic network analysis, subgrouping methodologies, and improving group membership classification accuracy. His recent work bridges developmental psychology and quantitative methods to better understand complex behavioral patterns.
Educational Background: PhD in Human Development and Family Studies (Quantitative Methods focus) from Pennsylvania State University.
