Jonathan identifies nomothetic trends in idiographic processes—individual data to identify group commonalities—as well as community detection, LASSO regularization, and dynamic network modeling.
- Graduate Student
- Ph.D. in Human Development and Family Studies, Methodology track
- M.A. in Experimental Psychology, focus in Quantitative Methods
- B.A. in Psychology
Broadly, Jonathan is interested in identifying nomothetic trends in idiographic processes; how can we use individual-level data to identify group-level commonalities. He has conducted research related to the areas of community detection, LASSO regularization, and dynamic network modeling (e.g., GIMME, graphical VAR). Substantively, he is interested in suicidal processes and how to use intensively gathered data to distinguish ideators from actors of suicide attempts.
Awards and honors:
- 2021 Grace M. Henderson Graduate Scholarship
- 2018 Edward R. and Helen Skade Hintz Graduate Fellowship
Park, J., Chow, S., Fisher, Z., & Molenaar, P. (2020). Affect and Personality: Ramifications of Modeling (Non-)Directionality in Dynamic Network Models. European Journal of Psychological Assessment, 36(6), 1009-1023. https://doi.org/10.1027/1015-5759/a000612