School of Medicine
Showing 13,001-13,057 of 13,057 Results
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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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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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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. My research objectives are driven by the need for faster, more accessible breast cancer screening using MRI. Specifically, I want to advance methods for contrast-free imaging, as well as enabling MRI exams with the patient positioned supine, that is laying on their back. I work in close collaboration with clinicians at Stanford Clinics, and contribute to translating new techniques to clinical practice.
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. -
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 as well as patients with cancer. He is an associate medical director of the antimicrobial stewardship program at Stanford Health Care, where he leads stewardship efforts in immunocompromised patients. He also has a great interest in clinical reasoning and the education and mentorship of trainees.
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Susan Ziolkowski, MD
Clinical Assistant Professor, Medicine - Nephrology
BioDr. Ziolkowski is a board-certified nephrologist and Clinical Assistant Professor in the Division of Nephrology at Stanford University School of Medicine, where she is a founding contributor to Stanford’s Onco-Nephrology program. She is a pioneering investigator who leads an independent, multidisciplinary research program at the intersection of onco-nephrology, medical imaging, and artificial intelligence, focused on redefining how kidney disease is detected, characterized, and managed in patients with cancer.
Her research integrates large-scale clinical data, advanced imaging, and machine learning to develop novel predictive models and uncover mechanisms of kidney injury in complex populations, including patients with cancer and stem cell transplantation. Through this work, she is establishing a new research paradigm that leverages imaging and AI to move beyond traditional biomarkers and enable earlier detection, improved risk stratification, and more precise, individualized care. Her program is designed to support the development of innovative, externally funded research aimed at transforming kidney outcomes in high-risk populations.
Clinically, Dr. Ziolkowski cares for patients at Stanford Health Care kidney clinics in Palo Alto and Emeryville, where she specializes in the management of kidney disease in patients with cancer. Her approach emphasizes precision medicine and individualized care strategies to optimize long-term outcomes and quality of life.
Dr. Ziolkowski has authored peer-reviewed publications in leading journals, including the American Journal of Kidney Diseases, Journal of Renal Nutrition, and Peritoneal Dialysis International, and presents her work nationally at meetings such as the American Society of Nephrology. Through her leadership in research, clinical care, and education, she is advancing the field of onco-nephrology and shaping the future of data-driven kidney care. -
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. -
J. Bradley Zuchero
Associate Professor of Neurosurgery
Current Research and Scholarly InterestsWe are primarily focused on understanding myelinating glia (oligodendrocytes and Schwann cells). How is myelin formed, dynamically remodeled to support learning, and why does regeneration of myelin fail in disease? We are also interested in understanding novel roles of myelin in the nervous system, beyond its textbook role as an electrical insulator. We combine in vivo and primary culture models with the generation of new cell biology tools to answer these questions.
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Evan Zucker
Associate Professor of Radiology (Pediatric Radiology)
BioDr. Zucker serves as Director of Cardiovascular Imaging for Stanford Children’s Health. He is a board-certified pediatric and cardiovascular radiologist with a special interest in CT and MRI for congenital heart disease.
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Donna Zulman
Professor of Medicine (Primary Care and Population Health)
Current Research and Scholarly Interests- Health care delivery models for patients with complex medical, social and behavioral needs.
- Interventions that address social determinants of health
- Effective communication and relationship-building in the clinical context
- Patient-facing technology (e.g., video-based care, eHealth technology) to facilitate access to health care -
Corinna Zygourakis, MD
Associate Professor of Neurosurgery
Current Research and Scholarly InterestsMy goal is to translate research into real-world action and decision-making so that my work can impact patients and the institutions in which they receive care. With a research focus on healthcare cost and quality of care, I approach neurosurgery in a unique way—one that applies business operations, economics, and healthcare delivery principles to our field. I have pursued formal LEAN business training, and believe in the importance of working together with other departments and administrators, as well as physicians and surgeons on the hospital and national level, to effect change. During my residency, I developed and led a multi-departmental prospective study at UCSF called OR SCORE (OR Surgical Cost Reduction Project) that brought together surgeons from the neurosurgery, orthopedics and ENT departments with nurses and administrators. OR SCORE successfully reduced surgical supply costs by nearly one million dollars in its first year by providing >60 surgeons with price transparency scorecards. This work led to a first-author publication in JAMA Surgery, but more importantly, set the foundation for further quality improvement and cost reduction efforts across the UCSF hospital system.
A volunteer neurosurgical mission trip to Guadalajara, Mexico, where limited resources create an OR environment that is strikingly more frugal than the U.S., inspired me to lead another project aimed at quantifying and reducing operating room waste at UCSF. I have also conducted research looking at the safety and outcomes of overlapping surgery, as well as several projects to define the factors underlying variation in cost for neurosurgical care using UCSF’s hospital data and national databases like the National Inpatient Sample, Vizient (formerly known as University Health Consortium), and Medicare.
As a clinical fellow at Johns Hopkins, I continued and expanded these research efforts. I designed and implemented an Enhanced Recovery after Surgery (ERAS) protocol at the Johns Hopkins Bayview hospital. This protocol standardized care for our spine patients, emphasizing pre-operative rehabilitation, psychiatric and nutritional assessments, and smoking cessation, as well as intra- and post-operative multi-modal pain therapy, early mobilization, and standardized antibiotic and bowel regimens. I also collaborated with engineers in the Johns Hopkins Carnegie Center for Surgical Innovation to develop better algorithms for intra-operative CT imaging, and provided assistance with operations to a basic science study looking at the role of cerebrospinal fluid drainage and duraplasty in a porcine model of spinal cord injury.
At Stanford, I am building a research group focused on: (1) perfecting paradigms for delivery of high-end technology in spinal care, including robotics and navigation, (2) implementing cost and quality strategies in large healthcare systems, and (3) computational analysis of big-data to effect real-time risk stratification and decision making in spine surgery. I'm excited to collaborate with my peers across surgical and medical departments, as well as business and engineering colleagues.
