Stanford University
Showing 29,321-29,340 of 35,025 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, Division of Computational Medicine
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. -
Hanif Sulaiman
Ph.D. Student in Earth System Science, admitted Autumn 2022
BioI'm interested in the marine nitrogen cycle, particularly in nitrous oxide (N2O), a potent greenhouse gas that plays a key role in stratospheric ozone destruction. I'm focused on delineating nitrous oxide's accumulation (production-consumption) pathways in various oceanographic regions.
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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).
