School of Medicine
Showing 10,851-10,900 of 12,891 Results
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Ayesha Sujan
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioAyesha C. Sujan, PhD, is a licensed clinical psychologist with specialized clinical training in pediatric pain psychology and extensive research experience in pharmacoepidemiology, particularly in using large administrative datasets to study central nervous system medication and substance use during pregnancy. She is currently a postdoctoral fellow under the primary mentorship of Dr. Jennifer Rabbitts, Chief of Pediatric Pain, in the Department of Anesthesiology, Perioperative and Pain Medicine at Stanford University School of Medicine, and is supported by an NIH T32 training grant (T32GM089626) focused on developing leaders in academic anesthesiology and pain medicine research. In addition to contributing to Dr. Rabbitts’ NIH-funded research on mechanisms and treatment of pain in youth undergoing surgery, she leads independent studies on pediatric chronic abdominal pain and disorders of gut–brain interaction, with a growing focus on central nervous system medication treatment for these conditions. Clinically, she conducts psychosocial assessments and provides evidence-based pain psychology treatment one day per week (20% FTE) in the outpatient pediatric pain management clinic at Stanford University School of Medicine, ensuring strong clinical grounding and translational relevance of her research program.
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Walter Sujansky
Adjunct Professor, Department of Medicine, Center for Biomedical Informatics Research
BioWalter Sujansky, MD PhD is an Adjunct Professor of Biomedical Informatics at the Stanford Center for Biomedical Informatics Research in the Stanford Department of Medicine. Dr. Sujansky co-teaches BMI-210 Modeling Biomedical Systems, where he lectures on a variety of topics, including deep neural networks, probabilistic reasoning, electronic health records, and health data integration and interoperability. He also advises students in the Biomedical Data Science Graduate Program, an interdisciplinary graduate and postdoctoral training program that is part of the Department of Biomedical Data Science. His research interests include the modeling of biomedical concepts based on formal logic and the engineering of features for biomedical machine learning algorithms.
Dr. Sujansky earned an M.D. and a Ph.D. in Medical Informatics from Stanford University, where his doctoral research addressed heterogeneous database integration and clinical decision support. He also earned a B.A. in Economics from Harvard University.
Dr. Sujansky is also the managing consultant at Sujansky & Associates, LLC, a consulting firm that specializes in the representation, management, and analysis of clinical data in information systems. In this capacity, his work focuses on the modeling of complex biomedical data related to patient phenotyping, clinical genomics, quality measurement, automated decision support, and machine learning. His firm has helped to develop shared computing resources such as the California Joint Replacement Registry and the Laboratory Interoperability Data Repository. The firm's clients include the federal and state governments, non-profit organizations, health information system developers, and drug/device manufacturers. Dr. Sujansky also provides forensic analysis of health information technologies for medical malpractice and intellectual property litigation. -
Mariella Suleiman, MD
Clinical Assistant Professor, Psychiatry and Behavioral Sciences - Medical Psychiatry
BioDr. Mariella Suleiman is a board-certified, fellowship-trained psychiatrist with Stanford Health Care. She is also a clinical assistant professor in the Department of Psychiatry and Behavioral Sciences, Division of Medical Psychiatry at Stanford University School of Medicine.
Dr. Suleiman has special training in treating women's reproductive mental health conditions across the lifespan, including but not limited to perinatal mood and anxiety disorders (PMADs), premenstrual dysphoric disorder (PMDD), and perimenopausal disorders. She also specializes in psychosomatic medicine, which focuses on appropriate psychological care for a range of reactions to illness. At Stanford Medicine, she works with the Consultation-Liaison Psychiatry Service, which provides treatment recommendations to manage psychiatric conditions while patients are hospitalized.
Dr. Suleiman’s research interests span advocacy to improve regulation of medications to treat mania in bipolar disorder (valproate) in the childbearing years, clinical approaches to treating agitation during pregnancy, and evidence-based management of bipolar disorder during and after pregnancy.
Dr. Suleiman has published her research in peer-reviewed journals such as The Journal of Clinical Psychiatry, Academic Psychiatry, The Primary Care Companion for CNS Disorders, and CNS Drugs. She has presented to her peers at international, national, and regional meetings, including those of the Academy of Consultation-Liaison Psychiatry (ACLP), the American Association for Directors of Psychiatric Residency Training (AADPRT), and the Royal Health Awareness Society (RHAS) of Jordan.
Dr. Suleiman is a member of the ACLP, the American Psychiatric Association (APA), the Jordan Medical Association (JMA), and the Northern California Psychiatric Society (NCPS). -
Edith Vioni Sullivan
Professor of Psychiatry and Behavioral Sciences (Major Laboratories and Clinical Translational Neurosciences Incubator)
Current Research and Scholarly InterestsApplication of neuroimaging modalities and component process analysis of cognitive, sensory, and motor functions to identify brain structural and functional mechanisms disrupted in diseases affecting the brain: alcohol use disorder, HIV infection, dementia, and normal aging from adolescence to senescence.
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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. -
Louise Y Sun
Professor of Anesthesiology, Perioperative and Pain Medicine (Cardiac)
BioDr. Louise Sun is a Professor of Anesthesiology, Perioperative and Pain Medicine and Director of Cardiovascular Research. She is an Adjunct Scientist at the Institute for Clinical Evaluative Sciences (ICES) in Toronto. Prior to this, she was an Associate Professor of Anesthesiology and Epidemiology, Director of Big Data and Health Bioinformatics Research at the University of Ottawa Heart Institute, and a Clinical Research Chair in Big Data and Cardiovascular Outcomes at the University of Ottawa.
Dr. Sun received her medical degree from McMaster University. She completed her anesthesiology residency at the University of Ottawa and her Masters of Science in Epidemiology at the Harvard School of Public Health, followed by a clinical and research fellowship in cardiac anesthesia at the University of Toronto. She then joined the Division of Cardiac Anesthesiology at the University of Ottawa Heart Institute and was cross appointed as an ICES faculty member.
Dr. Sun’s areas of clinical focus are hemodynamic monitoring and heart failure. Her methodologic areas of focus are the conduct of population-based cohort studies using large healthcare databases; predictive analytics; sex and gender epidemiology; patient engagement; innovative methods for data processing and warehousing; and software and applications development. Her research leverages big data and digital technology to bridge key gaps in the delivery of care and outcomes for patients with heart failure and/or undergoing cardiovascular interventions, zooming in on sex/gender and personalized care. She holds several patents and collaborates with health authorities and policy makers to evaluate and report on models of cardiac healthcare delivery.
Dr. Sun is active in the scientific community. She sits on a number of US, Canadian and international editorial boards and scientific and grant review committees, and collaborates nationally and internationally on a variety of population health and data science initiatives. Her patient-centered research program aims to improve access to care and outcomes, focusing on personalized risk stratification and long-term, patient-defined outcomes. She has authored over 100 peer-reviewed papers and published in leading clinical journals including JAMA, JAMA Cardiology, JAMA Internal Medicine, Circulation, JACC, Diabetes Care, and Anesthesiology. Her research program has been well funded by the Canadian Institutes of Health Research (CIHR), the Heart and Stroke Foundation of Canada, and the Ontario Ministry of Health. -
Ruopeng (Robin) Sun
Physical Science Research Scientist, Orthopaedic Surgery
BioDr. Sun is the research scientist at the Wearable Health Lab. He received his Ph.D. in Human Performance from Indiana University, MS in mechanical engineering from Stony Brook University. His research focused on using novel technology to study human movement as a function of aging, promote functional independence and enhance quality of life. He is particularly interested in investigating balance/locomotion control and risk of falling among ambulatory populations and translating novel research findings and technology into clinic/community-based settings to enhance healthy independent aging. His recent work utilized machine learning and augmented reality tools to enhance precise and efficient functional mobility assessment.
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Ryan R. Sun
Clinical Assistant Professor, Urology
BioDr. Sun is a board-certified, fellowship-trained urologist specializing in general urology and endourology. He is a clinical assistant professor of urology at Stanford University School of Medicine. He graduated with Cum Laud from the University of Washington and obtained his medical degree from the University of Toronto. After completing his urology residency at the University of Manitoba, Dr. Sun completed further fellowship training in Endourology at Stanford University School of Medicine.
Dr. Sun speaks fluent Mandarin and sees patients with a wide spectrum of general urologic diseases of the kidneys, bladder, prostate, and genitalia, with a special focus in complex kidney stone disease and minimally invasive surgery. He has received multiple research awards and authored numerous peer-reviewed publications regarding kidney stone disease, oncology, education, imaging, voiding dysfunction, and gene therapy.
In his academic role, Dr. Sun is committed to providing compassionate care and developing innovative treatments to advance minimally invasive surgical techniques. -
Vivien Kon-Ea Sun
Clinical Associate Professor, Pediatrics
BioVivien Sun is a pediatric hospitalist and Clinical Associate Professor within Stanford’s Division of Pediatric Hospital Medicine. She practices at California Pacific Medical Center and Stanford Healthcare Tri-Valley. Vivien’s interests include advocacy, medical education, and professional development.
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Wenfei Sun
Assistant Professor of Medicine (Endocrinology)
Current Research and Scholarly InterestsWe explore neural circuits regulating memory and systemic metabolism, integrating neuroscience and metabolic biology to tackle cognitive decline and metabolic disorders.
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Yang Sun, MD, PhD
Professor of Ophthalmology
Current Research and Scholarly InterestsWe are interested in the role of inositol phosphatases in eye development and disease, using both animal models and human disease tissue. We are a translational laboratory seeking to understand the basic function of proteins as well as developing therapeutic strategies for clinical trials.
