School of Medicine
Showing 201-250 of 261 Results
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Zixia Zhou
Postdoctoral Scholar, Radiation Physics
BioZixia Zhou is a postdoctoral researcher at Department of Radiation Oncology, Stanford University. Before starting her postdoc, she received a Ph.D. degree in Biomedical Engineering in 2021 from Fudan University. She is interested in improving medical imaging quality in cost-effective manners with artificial intelligence. Broadly, her research focuses on high spatio-temporal ultrasound image reconstruction and high-dimensional data reduction and visualization.
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Han Zhu
Assistant Professor of Medicine (Cardiovascular Medicine)
BioDr. Zhu is an Assistant Professor of Medicine whose clinical and research expertise focuses on cardio-oncology and cardio-immunology. She specializes in the cardiovascular care of patients undergoing therapies for cancer, with a particular focus on the effects of immunotherapies on the heart. She received a bioengineering degree from MIT, medical degree from Case Western Reserve University, and completed clinical cardiology fellowship and internal medicine residency training at Stanford University School of Medicine. Dr. Zhu’s laboratory focuses on myocarditis, cardiac inflammation, and the effects of cancer therapeutics on the cardiovascular system. Her current research employs clinical data, bio-banked samples, and in vivo/in vitro preclinical models in combination with single-cell technologies to study immune-based toxicities in the heart. Dr. Zhu's clinic sees cardio-oncology and cardio-immunology patients and her lab focuses on devising new methods for minimizing cardiovascular complications in the cancer and autoimmune patient populations.
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Wenjuan Zhu
Postdoctoral Scholar, Cardiovascular Institute
BioPostdoctoral Fellow
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Yihui Zhu
Research Associate, Rad/Neuroimaging and Neurointervention
BioI got my Master's degree in Electrical Engineering in 2024 from New York University Tandon School of Engineering. Then I joined Albert Einstein College of Medicine Radiology as a research engineer before joining Dr. Seena Dehkharghani's lab at Stanford in March 2025. My research includes brain imaging signal processing, functional imaging/brain hemodynamics analysis and machine learning.
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Ying Zhu
Postdoctoral Scholar, Gastroenterology, Hepatology, and Nutrition
BioDr. Ying Zhu is a postdoctoral scholar in the Rosen Lab at Stanford University in the Department of Pediatrics, Division of Gastroenterology, Hepatology & Nutrition. She received her PhD in 2023 from the Friedman School of Nutrition Science and Policy at Tufts University. Her research studied the role of intestinal Acyl-CoA long-chain synthetase 5 in diet-induced obesity using inducible transgenic mouse model. Within the Rosen Lab, Dr. Zhu is focusing on intestine epithelial metabolic dysfunction in pediatric IBDs and chronic intestinal inflammation.
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Maisa Ziadni, PhD
Clinical Assistant Professor, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsDevelopment and testing of novel interventions for chronic pain.
Understanding mechanisms of treatment among patients with chronic with pain.
Understanding predictors of opioid use among patients with chronic pain. -
Lindsey Zimmerman
Affiliate, Psych/Public Mental Health & Population Sciences
BioLindsey Zimmerman, PhD, is a Clinical and Community Psychologist, and Implementation Scientist at the National Center for PTSD, Dissemination and Training Division of the Veterans Health Administration.
Dr. Zimmerman is principal investigator of National Institutes of Health (NIH) and Veterans Health Administration (VA) research that enlists participatory system dynamics to increase timely patient access to evidence-based pharmacotherapy and evidence-based psychotherapy for depression, PTSD, alcohol and opioid use disorder. See https://mtl.how/team
Active NIH Grants
Participatory System Dynamics vs Audit and Feedback: A Cluster Randomized Trial of Mechanisms Of Implementation Change to Expand Reach of Evidence-Based Addiction and Mental Health Care (R01DA046651)
The most common reasons Veterans seek VA addiction and mental health care is for help with opioid and alcohol misuse, depression and PTSD. Research evidence has established highly effective treatments that prevent relapse, overdose and suicide, but even with policy mandates, performance metrics, and electronic health records to fix the problem, these treatments may only reach 3-28% of patients. This study tests participatory business engineering methods to better meet the addiction and mental health needs of Veterans and the U.S. population.
Participatory System Dynamics for Evidence-Based Addiction and Mental Healthcare (R21DA042198)
Limited access and delays to high-quality, evidence-based mental health and addiction treatments can lead to patients getting too little or ineffective care and contribute to chronic patient impairment, relapse, and death by suicide or overdose. This study evaluates a system for resolving problems with patient flow and organization in health care systems, using electronic medical record systems and a high-level of input from healthcare leadership, frontline providers and patients.
Active VA Grants
Participatory System Dynamics vs Usual Quality Improvement: Is Staff Use of Simulation an Effective, Scalable and Affordable Way to Improve Timely Veteran Access to High-quality Mental Health Care? (I01HX002521)
Participatory system dynamics (PSD) helps improve quality with existing resources, critical in mental health and all VA health care. PSD uses learning simulations to improve staff decisions, showing how goals for quality can best be achieved given local resources and constraints. We aim to significantly increase the proportion of patients who start and complete evidence-based care, and determine the costs of using PSD for improvement.
National Responsibilities
2019 National Institutes of Health, Center for Scientific Review
Community Influences on Health Behavior (CIHB) Study Section
2019-present VA Quality Enhancement Research Initiative (QUERI)
QUERI/Health Services Research & Development, Scientific Merit Review Committee
2019-present Emory University
Prolonged Exposure Consultant Training Program Advisory Board
2018-present National Institutes of Health
Training Institute for Dissemination and Implementation Research in Health (TIDIRH)
Mental Health Faculty Mentor
2015-2017 National Institutes of Health Loan Repayment Program
National Institute of Mental Health Clinical Research Review Committee
Teaching Responsibilities
Quality Improvement and Systems of Care Competencies
Psychiatry & Behavioral Sciences Residency, Stanford University School of Medicine & VA Palo Alto Health Care System
Postdoctoral Research Fellowship Program Seminar
VA Palo Alto research centers of the National Center for PTSD (NCPTSD), Center for Innovation to Implementation (Ci2i), Mental Illness Research Education and Clinical Care (MIRECC), and War-related Illness and Injury Study Center (WRIISC).
Open Science Resources for the Modeling to Learn Simulation Learning Program are available on GitHub at https://mtl.how and https://mtl.how/demo -
Judith Zimmermann
Postdoctoral Scholar, Radiological Sciences Laboratory
BioI am a postdoctoral scholar focusing on advancing breast magnetic resonance imaging, advised by Dr. Brian Hargreaves at the Radiological Sciences Laboratory (RSL), Body Magnetic Resonance (BMR) Group. I received my PhD from the Department of Computer Science, Technical University of Munich in 2021, jointly with the CMR Lab at Stanford, advised by Dr. Daniel Ennis. My PhD work focused on four-dimensional flow magnetic resonance imaging. After completion of my PhD studies, and prior to joining Dr. Hargreaves' lab, I was with the Breast Imaging Research Group (Dr. Nola Hylton) at UCSF.
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Alex Nathaniel Zimmet
Clinical Assistant Professor, Medicine - Infectious Diseases
BioDr. Zimmet is a board-certified Infectious Disease specialist with a focus on caring for immunocompromised patients, including those who have undergone solid organ or bone marrow transplantation. He has a special interest in antimicrobial stewardship and quality improvement in these populations.
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Susan Ziolkowski, MD
Clinical Assistant Professor, Medicine - Nephrology
BioDr. Ziolkowski is a board-certified nephrologist with a passion for caring for persons with chronic kidney disease. She is a clinical assistant professor in the Stanford Department of Medicine’s Division of Nephrology and has a special focus on treating patients with cancer and kidney disease. She is active both in research and teaching endeavors to further advance this field.
She provides patient care at the Stanford Health Care kidney clinics in Palo Alto and Emeryville. For each patient, she prepares a care plan that is comprehensive, compassionate, and personalized to individual needs. Her goal is to help every patient achieve the best possible health and quality of life.
Dr. Ziolkowski has co-authored articles on her research findings in the American Journal of Kidney Disease, Journal of Renal Nutrition, Peritoneal Dialysis International, and other journals. She has made presentations to her peers at meetings of the American Society of Nephrology, National Association for Research in Science Teaching, and other professional organizations.
She enjoys running, yoga, skiing and getting outdoors. -
Andrew Zolopa
Professor of Medicine (Infectious Diseases) at the Stanford University Medical Center, Emeritus
Current Research and Scholarly InterestsDr. Zolopas research applies a variety of clinical epidemiologic methods in an effort to optimize antiretroviral therapy and understand the impact of drug resistance on response to ARV. Areas of focus include the clinical application of resistance testing in optimizing antiretroviral therapy, clinical cohorts, trials of antiretroviral therapies and population-based epidemiologic evaluation of HIV resistance and efficacy of ARV therapy. More recently studies focused on premature aging in HIV.
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James Zou
Associate Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering
Current Research and Scholarly InterestsMy group works on both foundations of statistical machine learning and applications in biomedicine and healthcare. We develop new technologies that make ML more accountable to humans, more reliable/robust and reveals core scientific insights.
We want our ML to be impactful and beneficial, and as such, we are deeply motivated by transformative applications in biotech and health. We collaborate with and advise many academic and industry groups.
