School of Medicine
Showing 12,201-12,292 of 12,292 Results
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Meng (Gemma) Zhao
Postdoctoral Scholar, Pathology
BioDr. Zhao received her B.S. in Life Science from Beijing Normal University in China. She completed her Ph.D. in Evolution, Ecology, and Organismal Biology at University of California, Riverside in the laboratory of Wendy Saltzman in 2018. Following her Ph.D., she moved to Stanford for her postdoctoral work in the lab of Katrin J Svensson, studying endocrinology in mammalian energy metabolism.
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Qingyu Zhao
Instructor, Psychiatry and Behavioral Sciences
BioI am interested in using machine learning and computational approaches to analyze longitudinal and multi-modal MRI to characterize how the white-matter architecture develops to support coordinated neural activity for developing higher-order executive functions. My research also extends to characterize the impact of alcohol and substance use on structure-function remodeling. My general interest lies in image analysis and machine learning for the detection, diagnosis, and treatment of diseases.
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Renee Zhao
Assistant Professor of Mechanical Engineering
BioRuike Renee Zhao is an Assistant Professor of Mechanical Engineering at Stanford University where she directs the Soft Intelligent Materials Laboratory. Renee received her BS degree from Xi'an Jiaotong University in 2012, and her MS and PhD degrees from Brown University in 2014 and 2016, respectively. She was a postdoc associate at MIT during 2016-2018 prior to her appointment as an Assistant Professor in the Department of Mechanical and Aerospace Engineering at The Ohio State University from 2018 to 2021.
Renee’s research concerns the development of stimuli-responsive soft composites for multifunctional robotic systems with integrated shape-changing, assembling, sensing, and navigation. By combining mechanics, polymer engineering, and advanced material manufacturing techniques, the functional soft composites enable applications in soft robotics, miniaturized biomedical devices, flexible electronics, deployable and morphing structures.
Renee is a recipient of the 2022 ASME Henry Hess Early Career Publication Award, 2022 ASME Pi Tau Sigma Gold Medal, 2021 ASME Applied Mechanics Division Journal of Applied Mechanics Award, 2020 NSF Career Award, and 2018 ASME Applied Mechanics Division Haythornthwaite Research Initiation Award. -
Xiang Zhao
Postdoctoral Scholar, Molecular and Cellular Physiology
Current Research and Scholarly InterestsBy using the method of mouse model, structure biology, protein engineering, yeast library, T cell library, and imaging, I am interested in the research of basic and translational T cell biology, and cancer immunotherapy.
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Moss Zhao
Postdoctoral Scholar, Radiology
BioDr. Moss Zhao is a postdoctoral scholar at Stanford’s Center for Advanced Functional Neuroimaging led by Drs. Greg Zaharchuk and Michael Moseley. He develops cutting-edge and clinically viable imaging technologies to improve the diagnosis and treatment of cerebrovascular diseases across the lifespan. His specific areas of expertise include physiological modeling, arterial spin labeling, Bayesian inference, PET/MRI, and artificial intelligence. His scientific contributions could significantly improve the early detection of strokes and dementia as well as enrich the knowledge of brain development in the first two decades of life.
Dr. Zhao received his DPhil at St Cross College of University of Oxford under the supervision of Prof. Michael Chappell. As an alumni mentor, he supports the career development of students of his alma mater. Since 2016, he has presented his work to more than 3000 delegates at international conferences and held leadership positions in professional societies. His research and teaching are supported by the American Heart Association, the National Institutes of Health, and the European Cooperation in Science and Technology. -
Zheng Zhong
Postdoctoral Scholar, Radiology
Current Research and Scholarly InterestsMy current research focuses on developing novel MRI imaging techniques to accelerate its acquisition speed, including MR sequence pulse design, novel encoding strategy, and deep learning.
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Quan Zhou
Postdoctoral Scholar, Neurosurgery
Current Research and Scholarly InterestsDr. Zhou has made substantial contributions to the field of biomedical engineering. Dr. Zhou conducts her research on a highly specialized area focusing on molecular imaging, which has applications in biomedical imaging and clinical oncology. Dr. Zhou’s research addresses some of the nation’s most pressing issues related to the development of effective biomedical imaging approaches for accurate diagnosis of prevalent human diseases and improving effectiveness of their treatment. Her innovations in biomedical imaging technology are important for detection and management of deadly diseases including brain, head-and-neck, pancreatic, liver and colorectal cancers as well as cardiovascular sclerosis. Her strong background in biological sciences and biomedical engineering as well as her experience in both translational and clinical research have helped her develop multiple disease-specific molecular probes and miniature imaging devices for image-guided surgery of cancers and cardiovascular plaque detection.
Dr. Zhou’s research has led to emergence of novel solutions and opportunities, in particular, for molecular imaging of cancer and other diseases, for discovering, leveraging and integration of cancer biomarker and tumor microenvironment information, and for novel approaches to acquire real-time high-resolution contrast enhanced cancer visualization and optimization based on imaging depth, quality and speed. Dr. Zhou has been able to formulate the involved clinical and biological problems into biomedical engineering frameworks and find ways to exploit a variety of modern techniques and approaches from photoacoustic imaging, fluorescence-guided surgery, micro-electromechanical systems and biomedical instrumentation in developing elegant and effective solutions. Her work in the Neurosurgery Department and Molecular Imaging Program at Stanford involves research related to developing tumor-specific molecular probes, advanced imaging methods and therapeutic delivery systems for adult and pediatric patients with malignant brain cancers to improve margin detection, enhance resection accuracy, and improve treatment outcome. -
Ryle Zhou
Medical Imaging Deep Learning Algorithm Researcher, Medicine - Med/Oncology
BioRyle previously studied Computer Science at Stanford University. And currently has her research focused on deep learning algorithms on medical imaging. Her passion lies with cancer research and she strives to utilize AI technologies to benefit cancer patients.
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Wenhui Zhou
Affiliate, Dean's Office Operations - Dean Other
Resident in RadiologyBioWenhui was born in Southeast China and then immigrated to the San Francisco Bay Area as a teenager. He attended the University of California, Davis under a Regent Scholarship, and graduated with highest honors in Biochemistry and Molecular Biology. Wenhui subsequently pursued training in medicine and translational research in the Medical Scientist Training Program (MSTP) at Tufts University. In the Laboratory of Dr. Charlotte Kuperwasser, Wenhui studied the regulation and function of transcription factors in triple-negative breast cancer with the goal of improving cancer diagnosis and therapeutics. Additionally, he pursued clinical research examining image-guided ablative therapy as a front-line treatment option for renal cancer under the mentorship of Dr. Ronald Arellano at Massachusetts General Hospital. Outside of his clinical and academic interests, Wenhui enjoys food, taking walks, listening to NPR, and spending time with family and friends.
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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
Instructor, Medicine - Cardiovascular Medicine
BioDr. Zhu is a general cardiologist with specialized clinical and research training in cardio-oncology and cardio-immunology. She focuses on 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 at MIT, medical degree at Case Western Reserve University, and completed clinical cardiology fellowship and internal medicine residency training at Stanford University School of Medicine. Dr. Zhu’s research 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 animal models combined with single-cell technologies to study immune-based toxicities in the heart. Dr. Zhu's clinic sees cardio-oncology and cardio-immunology patients and focuses on devising new methods for minimizing cardiovascular complications in the cancer patient population.
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Wenjuan Zhu
Postdoctoral Scholar, Cardiovascular Institute
BioBioinformatics scientist
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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. -
Daniel Zimmer
Postdoctoral Scholar, Infectious Diseases
Current Research and Scholarly InterestsMy research focuses on the scientific history of anthropogenic existential risk and its impact on Western political thought. I focus in particular on the development of massed thermonuclear arsenals during the 1950s, the rise of Earth System science and attendant ecological risks during the 1980s, and the anxieties surrounding the prospect of artificial super intelligence that took hold in the 2000s.
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Lindsey Eileen 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 -
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
Assistant 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
Assistant Professor of Neurosurgery
Current Research and Scholarly InterestsGlia are a frontier of neuroscience, and overwhelming evidence from the last decade shows that they are essential regulators of all aspects of the nervous system. The Zuchero Lab aims to uncover how glial cells regulate neural development and how their dysfunction contributes to diseases like multiple sclerosis (MS) and in injuries like stroke.
Although glia represent more than half of the cells in the human brain, fundamental questions remain to be answered. How do glia develop their highly specialized morphologies and interact with neurons to powerfully control form and function of the nervous system? How is this disrupted in neurodegenerative diseases and after injury? By bringing cutting-edge cell biology techniques to the study of glia, we aim to uncover how glia help sculpt and regulate the nervous system and test their potential as novel, untapped therapeutic targets for disease and injury.
We are particularly interested in myelin, the insulating sheath around neuronal axons that is lost in diseases like MS. How do oligodendrocytes- the glial cell that produces myelin in the central nervous system- form and remodel myelin, and why do they fail to regenerate myelin in disease? Our current projects aim to use cell biology and neuroscience approaches to answer these fundamental questions. Ultimately we hope our work will lead to much-needed therapies to promote remyelination in patients. -
Donna Zulman
Associate Professor of Medicine (General Medical Disciplines)
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
Assistant 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.
