School of Medicine
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Susan Y. Quan
Clinical Assistant Professor (Affiliated), Medicine - Med/Gastroenterology and Hepatology
Staff, Medicine - Med/Gastroenterology and HepatologyBioClinical Focus:
Gastroenterology
Gastrointestinal Endoscopy
Board Certification:
Gastroenterology
Internal Medicine
Professional Education:
Fellowship: Stanford University School of Medicine, Gastroenterology and Hepatology (2014)
Residency: Johns Hopkins University School of Medicine, Internal Medicine (2011)
Medical Education: Johns Hopkins University School of Medicine (2008)
Undergraduate: Stanford University (2003) -
Ali Rahimpour Jounghani
Research Scientist, Psychiatry and Behavioral Sciences - Interdisciplinary Brain Sciences
BioMy long-term research interests lie in advancing our understanding of neuroimaging techniques and their application in mapping developmental pathways of brain networks, with a focus on how alterations in these networks contribute to mental health disorders. My academic training and multidisciplinary research background have provided me with expertise in a range of neuroimaging modalities, including functional MRI (fMRI), structural MRI, electroencephalography (EEG), and functional near-infrared spectroscopy (fNIRS).
During my doctoral studies, I investigated the effects of contextually specific, action-based timing behavior on brain responses, as well as the functional impacts of timing behavior in cochlear implant users. These studies provided valuable insights into the temporal dynamics of brain function. My research has also extended to clinical and cognitive applications, such as studying brain functionality in infants in neonatal intensive care units and in adults with brain disorders.
Currently, as a research scientist at Stanford University, my work bridges psychiatry, cognitive science, and biomedical engineering. I focus on refining neuroimaging data analysis techniques and advancing the use of fNIRS and MRI to explore developmental cognition, particularly for ADHD. A significant part of my current research involves the development of a wearable, cost-effective fNIRS platform for precision mental health. Through my work, I aim to contribute to a deeper understanding of brain disorders and to create practical, cutting-edge tools that advance precision mental health care.