School of Medicine
Showing 1,201-1,220 of 1,308 Results
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Pervez Sultan
Professor of Anesthesiology, Perioperative and Pain Medicine (Obstetrics) and, by courtesy, of Obstetrics and Gynecology
BioDr. Pervez Sultan is a Professor in the department of Anesthesiology, Perioperative and Pain Medicine and (By Courtesy) in the department of Obstetrics and Gynecology at Stanford University School of Medicine. He is also an Honorary Professor at University College London in the department of Targeted Intervention. His research interests include defining, characterizing, measuring and improving postpartum recovery.
He has authored over 185 peer reviewed publications and presented the Ostheimer Lecture at the 2023 Society for Obstetric Anesthesia and Perinatology annual meeting.
Dr. Sultan is an NIH funded researcher. He is the principal investigator for 2 R01 grants: one developing and validating a measure for postpartum sleep and another exploring interventions for PTSD after childbirth. He is also a co-investigator for a Maternal Centers of Excellence U54 award exploring Inequities in Hemorrhage-related Severe Maternal Morbidity and is a Co-Investigator on a T90 grant.
Dr. Sultan is an elected member of the Association of University Anesthesiologists. He serves on the Society for Obstetric Anesthesia and Perinatology (SOAP) Board as the Director from Academic Practice, and serves on the Annual Meeting and Live Events and Research Committees.
Dr. Sultan is a former Arline and Pete Harman Endowed Faculty Scholar of the Stanford Maternal and Child Health Research Institute at Stanford University and a previous recipient of the UK National Institute of Academic Anesthesia Research Award.
NIH Bibliography: https://www.ncbi.nlm.nih.gov/myncbi/pervez.sultan.1/bibliography/public/
Researchgate profile: https://www.researchgate.net/profile/Pervez_Sultan2
Google Scholar profile: https://scholar.google.com/citations?user=Z2ftv_IAAAAJ&hl=en
Twitter: @PervezSultanMD -
Meghan Sumner
Associate Professor of Linguistics
BioMeghan Sumner received her PhD in Linguistics at Stony Brook University. After completing her PhD, she was an NIH NRSA Postdoctoral Fellow in Cognitive Psychology. She has been at Stanford University since 2007, where she is now an Associate Professor of Linguistics and the Director of the Stanford Phonetics Lab, where she investigates variation and spoken language understanding.
Meghan’s research sits at the intersection of acoustic phonetics, language use and variation, social meaning, and cognitive psychology. She investigates attention, perception, recognition, memory, and comprehension within and across individuals, groups, and languages, aiming to understand how different components of spoken language understanding work together. She and her students are testing the predictions of and hope to contribute to the development of a dynamic adaptive socially-anchored model of spoken language understanding. For the past twenty years, her work has focused on diverse talker and listener populations, drawing on variation to address issues in linguistics and psychology related to representation, asymmetries in memory, social effects in spoken language recognition, familiarity, experience, and categorization.
She is currently a Stanford Impact Labs Design Fellow, working with public institutions and advocacy groups to apply language-based social science methods to increase protections for children living with domestic violence. -
Chenxi Sun
Postdoctoral Scholar, Neurology and Neurological Sciences
Current Research and Scholarly InterestsArtificial intelligence for time-series data; clinical EEG foundation models; machine learning for neurophysiology
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Eric Sun
Associate Professor of Anesthesiology, Perioperative and Pain Medicine (MSD)
Current Research and Scholarly InterestsMy research examines questions of health economics and health policy, with a focus on economics and policy in the perioperative setting. Current research topics include the economics of treatments for chronic pain, as well as how physician practice organization affects outcomes and costs.
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Fangdi Sun
Assistant Professor of Medicine (Oncology)
BioDr. Sun is a medical oncologist and clinical investigator at Stanford University. She specializes in the treatment of patients with head and neck malignancies, with specific interests in virus-driven malignancies and novel, biomarker-guided therapies in head and neck cancer. She received her medical degree from Harvard Medical School, followed by a residency and chief residency at the University of California, San Francisco, and then served as chief fellow in hematology and medical oncology at Stanford University. She has earned honors and recognition from the American Association of Cancer Research (AACR), American Society of Clinical Oncology (ASCO), and International Association for the Study of Lung Cancer (IASLC), among other organizations.
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Han Sun
Postdoctoral Scholar, Genetics
Biostatistician 2, Pediatrics - EndocrinologyBioHan had been a postdoc with Dr. Steinmetz at the genetics department for five years, working on both cancers and heart diseases, trying to understand the mechanisms linking from variants to disease phenotypes. This led to a few very interesting findings of aberrant splicing regulation, such as splicing-mediated readthrough stabilization (SRS), one more mechanism for oncogene activation in multiple types of cancers, and tissue-specific splicing of a mitochondrial inner membrane protein, suggesting a molecular connection between deficiency in energy-supplying and dilated cardiomyopathy.
After being a senior computational biologist with Dr. Gloyn, who has been dedicated to the research of type 2 diabetes for decades, Han switched to the field of this multifactorial metabolic disease. It did take some courage to make such a switch at his post-postdoc stage, however, Han has a consistent interest in studying PG&E, which is not pacific gas and electric nearby, but the interaction between phenotype, genotype, and environment. With years of hands-on experience in statistical modeling and the analysis of next-generation sequencing and mass spectrometry data, in addition to a good understanding of disease genetics, cancer biology, and systems biology, Han is highly confident that he will enjoy the adventure and contribute to our understanding of diabetes. -
Liyan Sun
Postdoctoral Scholar, Radiological Sciences Laboratory
Current Research and Scholarly InterestsPhysics-driven deep learning algorithms for MRI/CT reconstruction and analysis:
(1) MRI acceleration with partial measurements.
(2) Medical image segmentation under limited data resources.
(3) Unsupervised/supervised medical image synthesis for MRI or CT.
(4) Longitudinal medical data analysis with deep learning models.
(5) PET image reconstruction and analysis.
