School of Medicine
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Sara Pardej
Postdoctoral Scholar, Psychiatry
BioSara Pardej earned her BA in Psychology and BS in Cognitive Science at Marquette University. Afterwards, she attended the Clinical Psychology Doctoral Program at the University of Wisconsin-Milwaukee under the mentorship of Dr. Bonita P. Klein-Tasman, where she earned both her MS and PhD in Clinical Psychology. There, she worked on several studies focusing on youth with neurofibromatosis type 1 (NF1), including behavioral phenotyping work, psychometric studies, and a social skills intervention study. Her dissertation study, which was funded by a Young Investigator Award from the Children's Tumor Foundation, focused on examining event related potentials using EEG by comparing children with NF1 to children with idiopathic ADHD and unaffected children. She completed her Doctoral Internship in Clinical Psychology at Penn State Health in Hershey, Pennsylvania. While at Penn State, she also worked on research examining safety and psychopathology in youth with ADHD and/or autism. Her clinical interest is neuropsychology, and her research interests include issues of psychometrics, behavioral phenotyping, and the neuropsychological development (and subsequent areas of intervention) of individuals with NF1 across the lifespan.
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Junyoung Park
Postdoctoral Scholar, Neurology and Neurological Sciences
BioDr. Jun Young graduated from the Department of Biostatistics at the School of Public Health, Seoul National University, Korea. His major field of study is biostatistics, with a specific focus on the application of machine learning and statistical analysis to medical imaging and genetic data. During his doctoral studies, he concentrated on two primary research areas. Firstly, he dedicated himself to the development of deep learning models for medical images, primarily centered on T1-MRI and cognitive function test images related to Alzheimer's Disease. Secondly, he engaged in extensive genome-wide association analyses of medical images associated with Alzheimer's Disease, using statistical algorithms to uncover novel insights into the genetic factors contributing to this complex condition. Currently, as a postdoctoral fellow at the Greicius Lab at Stanford, he aims to develop statistical methods to discover novel structural variants and model polygenetic risk scores using long-read sequencing data.
