Stanford University
Showing 12,801-12,900 of 12,927 Results
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Zeyuan Zhang
Postdoctoral Scholar, Hematology-Oncology
BioZeyuan Zhang, Ph.D., is a Postdoctoral Scholar at Stanford University in the laboratory of Glaivy Batusli, where he is conducting research on the evolution of antibody development against the coagulation protein factor IX in hemophilia B disease models. He earned his Ph.D. in Biomedical Science from the University of Iowa, focusing on cell and developmental biology.
Dr. Zhang’s research centers on the molecular mechanisms underlying metabolic disease, with particular emphasis on organelle dysfunction in obesity. His work has provided insights into GSNOR enzymatic activity, lysosomal dysfunction, and inflammatory stress in metabolic regulation. He has also investigated transcriptional mechanisms contributing to obesity-associated hepatic dysfunction and adipose tissue homeostasis. Prior to joining Stanford, he worked as a Scientist I at Altos Labs, where he studied hepatocyte-specific rejuvenation reprogramming in fatty liver disease.
His technical expertise includes multi-omics approaches, RNA sequencing, chromatin immunoprecipitation, high-resolution respirometry, advanced imaging techniques, and in vivo mouse models. He also has extensive experience in primary cell isolation and histological analysis.
Dr. Zhang is interested in translational research that connects molecular mechanisms to therapeutic strategies, with the goal of developing innovative treatments for metabolic diseases. -
Man Zhao
Postdoctoral Scholar, Radiation Biology
BioMy research primarily focuses on the molecular mechanisms, signaling pathways, and therapeutic targets underlying cancer metabolism, particularly the m6A demethylase FTO. I am also actively exploring the interplay between tumor metabolism and tumor immunity, with the goal of identifying novel metabolic vulnerabilities for cancer treatment.
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Renee Zhao
Assistant Professor of Mechanical Engineering and, by courtesy, of Bioengineering and of Materials Science and Engineering
BioRuike Renee Zhao is an Assistant Professor of Mechanical Engineering at Stanford University, where she directs the Soft Intelligent Materials Laboratory. Originally from the historic city of Xi'an, she earned her BS from Xi'an Jiaotong University in 2012. She then pursued Solid Mechanics at Brown University, obtaining her MS in 2014 and PhD in 2016. Following her doctoral studies, she completed postdoctoral training at MIT (2016–2018) before serving as an Assistant Professor at The Ohio State University (2018–2021).
Renee’s research focuses on developing stimuli-responsive soft composites for multifunctional robotic systems with integrated shape-changing, assembly, sensing, and navigation capabilities. By integrating mechanics, material science, and advanced material manufacturing, her work enables innovations in soft robotics, miniaturized biomedical devices, robotic surgery, origami systems, active metamaterials, and general deployable morphing structures.
Her contributions have been recognized with honors and awards, including the Presidential Early Career Award for Scientists and Engineers (PECASE), DARPA Young Faculty Award (YFA, 2025), ARO Early Career Program (ECP) Award (2023), AFOSR Young Investigator Research Program (YIP) Award (2023), Eshelby Mechanics Award for Young Faculty (2022), ASME Henry Hess Early Career Publication Award (2022), ASME Pi Tau Sigma Gold Medal (2022), ASME Applied Mechanics Division Journal of Applied Mechanics Award (2021), NSF CAREER Award (2020), and ASME Applied Mechanics Division Haythornthwaite Research Initiation Award (2018). She is also recognized as a National Academy of Sciences Kavli Fellow and was named one of MIT Technology Review's 35 Innovators Under 35. -
Tianyu Zhao
Postdoctoral Scholar, Radiation Biology
Current Research and Scholarly InterestsHow p53 affects the tissue homeostasis in lung cancer and injury.
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Yanan Zhao
Postdoctoral Scholar, Psychiatry
BioYanan completed her Ph.D. degree at Fudan University, where she uncovered the mechanisms of sleep transitions from the evolutionary point of view in Dr Zhili Huang’s lab, with a combination of optogenetics, in vivo electrophysiology, fiber photometry, polysomnography, immunohistochemistry and so on. In the de Lecea lab, Yanan is now curious about how sleep regulates the balance between DNA damage and repair with approaches of imaging. At the same time, she is interested in larger scale imaging during different brain states. Outside the lab, Yanan enjoys biking and exploring the sunny bay area.
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Yihan Zhao
Masters Student in Biomedical Data Science, admitted Autumn 2024
Bio* Part-time Adult, Lover for Hiking, Photograph, Jazz, Surfing, Pool
* AI4Health
* How Human make better AI? How AI make better Human?
* I want to make: Anticancer Drugs, Contraceptive for Male, Artificial Womb, Weight Loss Pills
Don't create opium, create a forest, create air and water -
Moss Zhao
Instructor, Neurosurgery
BioDr. Moss Zhao is an Instructor at Department of Neurosurgery, Stanford University. 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. -
Hong Zheng
Research Engineer, Med/BMIR-ITI Institute
BioMy research focuses on understanding the multi-omic landscape (genomics, epigenomics, transcriptomics, etc.) and immune responses in human diseases (cancer, aging, and infectious diseases, etc.), and identifying robust gene signatures and targets for disease diagnostics, prognostics, and therapeutics.
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Xiaoxu Zhong
Postdoctoral Scholar, Radiation Physics
BioI am a Postdoctoral Fellow in the Guillem Pratx Lab, with an expertise in predictive modeling, algorithm development, and data science. I earned my Bachelor of Science and Master of Science degrees in Ocean Engineering from Shanghai Jiao Tong University. I then received a Ph.D. in Mechanical Engineering from Purdue University, where I focused on developing mathematical models and applying machine learning. My work uncovered the mechanisms behind autoinjectors, drug delivery, and cavitation bubbles, with applications in tumor treatment and the design of medical devices. Currently, I am combining computational modeling and experimental approaches to positron emission tomography imaging, aiming to improve tumor diagnosis and treatment. I am also investigating how ionizing radiation nucleates nano-sized bubbles.
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Jiayan Zhou
Affiliate, Medicine - Med/Cardiovascular Medicine
BioI am a Senior Computational Genomics Scientist at the Palo Alto Veterans Institute for Research (PAVIR) and was previously a Postdoctoral Scholar and Research Associate leading the identification of genes responsible for cardiovascular disease in the Division of Cardiovascular Medicine, School of Medicine, Stanford University, and the VA Palo Alto Health Care System. My research focuses on population genetics and precision public health.
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Maggie Zhou
Instructor, Medicine - Oncology
BioDr. Zhou is an Instructor in the Division of Oncology at Stanford University with an academic focus in sarcoma. She graduated from Yale University with a B.A. and double majored in economics and molecular, cellular, and developmental biology. She subsequently received her M.D. from Stanford University School of Medicine, where she completed her internal medicine residency and fellowship training.
Her research interests center around the development of novel therapeutics, understanding pathophysiology of rare sarcoma subtypes, and evaluating the utility of circulating tumor DNA for assessing disease response and detecting minimal residual disease. She has co-authored over 20 peer-reviewed publications, including in Clinical Cancer Research and Nature Cell, and is an active member of the Sarcoma Clinical Trial Working Group in the Hoosier Cancer Research Network. Her research has been supported by the Chinese American Hematologist and Oncologist Network and Sarcoma Alliance for Research through Collaboration. -
Margaret J. Zhou, MD, MS
Clinical Assistant Professor, Medicine - Gastroenterology & Hepatology
BioDr. Margaret Zhou is a board-certified, fellowship-trained gastroenterologist with Stanford Health Care. She also holds an appointment as clinical assistant professor at Stanford University School of Medicine.
She specializes in therapeutic endoscopy with expertise in treating Barrett’s esophagus and disorders of the pancreas and bile duct. In particular, she offers advanced endoscopic interventions to prevent, detect, and manage gastrointestinal (GI) cancers. These interventions include endoscopic mucosal resection, endoscopic ablation, endoscopic retrograde cholangiopancreatography, and endoscopic ultrasound. She is also interested in the management of esophageal disorders such as gastroesophageal reflux disease.
Dr. Zhou has published widely on improving the detection of precancerous lesions and cancers of the GI tract. She is particularly interested in prevention, early detection, and outcomes in Barrett’s esophagus, esophageal cancer, and stomach cancer. In addition, she has published on new technologies and the use of artificial intelligence in GI. Her research has been published in multiple journals including Clinical Gastroenterology and Hepatology; Clinical and Translational Gastroenterology; and Cancer Epidemiology, Biomarkers & Prevention.
Dr. Zhou is an active member of multiple national GI societies. She currently serves on the American Gastroenterological Association (AGA) Clinical Guidelines Committee and AGA Trainee and Early Career Committee. She also serves as an Associate Editor for Evidence-Based GI, an American College of Gastroenterology (ACG) journal. -
Sa Zhou
Postdoctoral Scholar, Neurosurgery
BioSa Zhou, Ph.D., received her Ph.D. in Biomedical Engineering from The Hong Kong Polytechnic University. Her research focuses on person-centered cognitive and physical enhancement for aging-related neurological disorders - including stroke, Parkinson’s disease (PD), and Alzheimer’s disease (AD) - through the development of closed-loop brain-computer interface (BCI)-guided neuromodulation and rehabilitation robotics, as well as the investigation of brain structural and functional connectivity using multimodal neuroimaging and electrophysiology.
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Wenhui Zhou
Adjunct Clinical Instructor, Radiology
BioWenhui 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
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
