About
Hi, I’m a Cognitive Science Ph.D. student in Greene Developmental Cognitive Neuroscience Lab (PI: Dr. Deanna Greene) at UC San Diego. Before joining Greene Lab, I studied cognitive neuroscience in Human Affective Neuroscience (HumAN) Lab (PI: Dr. Justin Minue Kim) at Sungkyunkwan University, South Korea.
I am particularly interested in using brain/body signals to explain and predict well-being and health outcomes spanning from mental health to neurodevelopmental disorders. My long-term goal as a researcher is to facilitate access to effective interventions and guide personalized treatment helpful for at-risk population of health diseases.
To do this, I use various neural and physiological data of all kinds including magnetic resonance imaging (MRI), electroencephalogram (EEG) and heart rate along with machine learning, predictive modeling, subtyping, and topological data analysis.
Research Interests
- neural/physiological biomarkers of neuropsychiatric disorders
- network neuroscience
- multimodal data analysis, predictive modeling
- risk and resilience factors during development
Publications
- * Equal author contribution
< Peer-reviewed Articles >
Identifying subtypes based on environmental and neurobiological risk and resilience factors of postpartum maternal mental health (in press). Park, S., Patterson, G., Gudiño, O. G., Kim, M. J., Kim, P., Translational Psychiatry.
Grit buffers against stress-induced physiological response (2025). Jeon, J., Yoo, C., Park, S., Kim, B., Yoo, J., Kim, M. J., Park D., Personality and Individual Differences. [Full Text]
Gritty heart: Improved heart rate variability markers of adaptive physiological response in grit (2025). Yoo, J.*, Kim, B.*, Park, S., Jeon, J., Yoo, C., Kim, M. J., Park D., Psychophysiology. [Full Text]
Similarity in functional connectome architecture predicts teenage grit (2023). Park, S., Park, D., & Kim, M. J., Social Cognitive and Affective Neuroscience. [Full Text / Code]
Structural connectome-based prediction of trait anxiety (2022). Yoo, C.*, Park, S.*, & Kim, M. J., Brain Imaging and Behavior. [Full Text] Featured on the journal cover
< Unpublished Manuscripts >
- Precision functional mapping reveals less inter-individual variability in the child vs. adult human brain (under review). Demeter, D. V., Feigelis, M., Badke D’Andrea, C., Ali, S. A., Baim, A. R., Koithan, E., Stearns, J., Zreik, S., Ahern, J., Park, S., Chang, S. E., Miller, R. L., Hampton, J. M., Schlaggar, B. L., Marek, S., Gordon, E. M., Dosenbach, N. U. F., Gratton, C., Greene, D. J. [Preprint]
CV
Highlights
2025
- July–August: attending Neurohackademy (Seattle, USA) - check out our project that curates openly available Precision Functional Mapping (PFM) studies information and subjects to date [Github repo / Summary slides / Presentation video]

- September: poster presentation @ Flux (Dublin, Ireland) [Flux trainee spotlight]
Title: Characterizing functional brain network integration in the basal ganglia and thalamus in children with Tourette syndrome
2024
- April: poster presentation @ Social Affective Neuroscience Society (SANS) (Toronto, Canada)
Title: Subtyping Environmental and Neurobiological Risk and Resilience Factors of Maternal Mental Health During the Perinatal Period
2023
- April: poster presentation @ Social Affective Neuroscience Society (SANS) (Santa Barbara, USA)
Title: Similar Functional Connectome Architecture Predicts Teenage Grit - November: poster presentation @ Developmental Affective Neuroscience Symposium (DANS) (Pittsburgh, USA)
Title: Linking neuroimaging-based features of normative structural and functional brain development in adolescents
