School of Medicine


Showing 41-50 of 62 Results

  • Renee Zhao

    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.

  • Moss Zhao

    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.

  • Maggie Zhou

    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

    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.

  • Wenhui Zhou

    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.

  • Han Zhu

    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.