Shi Gu, Ph.D.  Shi recently his PhD under the mentorship of close collaborator Danielle Bassett.   As part of his work there, he used network control theory to understand brain structural brain networks (link).  Furthermore,  Shi lead collaborative work exploring the evolution of functional brain networks in adolescence (using data from the PNC), which was published in PNAS (link). As part of his ongoing work supported by a collaborative R21 between Drs. Bassett and Satterthwaite, Shi is investigating how network control evolves during adolescence and allows for the development of executive function.  




Antonia Kaczkurkin, Ph.D.   Dr. Antonia Kaczkurkin is currently a postdoctoral fellow . She received her Bachelor of Science degree in psychology from the University of Arizona, summa cum laude. Dr. Kaczkurkin received her Master of Arts and Ph.D. degrees in clinical psychology from the University of Minnesota, where she was a National Science Foundation (NSF) Graduate Research Fellow. Her dissertation examined the neurobiology associated with the generalization of conditioned fear in veterans with posttraumatic stress disorder (Kaczkurkin et al., 2016, American Journal of Psychiatry). She completed her APA-accredited clinical internship at Hennepin County Medical Center in Minneapolis, Minnesota. As a postdoctoral clinician, she was funded by the Postdoctoral Fellowship for Academic Diversity Program, awarded by the Provost for Research at the University of Pennsylvania, to work with Dr. Edna Foa at the Center for the Treatment and Study of Anxiety. Dr. Kaczkurkin is currently funded by a National Institute of Mental Health (NIMH) Research Supplement to Promote Diversity in Health-Related Research to work with Dr. Theodore Satterthwaite. She was awarded a 2017 NARSAD Young Investigator Award from the Brain & Behavior Research Foundation and a Penn PROMOTES Research on Sex and Gender in Health grant from the University of Pennsylvania. Dr. Kaczkurkin’s research focuses on understanding the neurobiological mechanisms that contribute to the etiology of internalizing disorders. Her specific research interests include: 1) investigating abnormal brain anatomy and functioning in anxiety and depressive disorders, and 2) understanding the neurobiological heterogeneity that exists within internalizing symptoms. In ongoing work, she integrates multi-modal imaging including task-based functional magnetic resonance imaging (fMRI), T1 imaging of brain structure, and arterial spin labeled (ASL) imaging of brain perfusion to study internalizing symptoms in youth. Dr. Kaczkurkin’s work with our group has shown that anxious-misery symptoms are related to elevated cerebral blood flow in affective brain regions in a large sample of 875 youth (Kaczkurkin et al., 2016, Biological Psychiatry). To expand upon this research, she published a study showing that psychopathology was associated with elevated perfusion in the anterior cingulate cortex, providing evidence for common abnormalities in cerebral blood flow across multiple neuropsychiatric disorders in youth (Kaczkurkin et al., 2017, Molecular Psychiatry).  Her current work focuses on parsing heterogeneity within mood and anxiety disorders using advanced machine learning methods.




Rula Nasser, M.D.  Rula is a second-year neonatology fellow at the Children's Hospital of Philadelphia.  She is leading a project investigating the impact of prematurity on subsequent adolescent brain development and cognitive function.   


Anup Sharma, M.D., Ph.D. Anup completed his M.S. in Chemistry studying mRNA/micoRNA gene regulatory pathways as part of the University of Pennsylvania Vagelos Program in the Molecular Life Sciences. He completed his M.D. Ph.D. in the Department of Neuroscience developing single-cell technologies to understand neuronal death mechanisms under advisor Dr. James Eberwine. Currently, as part of collaborative projects with Dan Wolf and Joe Kable, he currently investigating dimensional reward-system deficits across psychiatric disorders. Moving forward, he is interested in integrating live human cell gene expression analysis with functional MRI to understand the relationship between cellular and circuit-level regulatory networks. Additionally, he is interested in developing neuroimaging biomarkers to evaluate non-pharmacological interventions. Anup is funded through the Neuropsychiatry training grant (T32, PI: Raquel E. Gur).