Stanford University
Showing 501-600 of 808 Results
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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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Xiaolin Zheng
Professor of Mechanical Engineering, of Energy Science Engineering, Senior Fellow at the Precourt Institute for Energy and Professor, by courtesy, of Materials Science and Engineering
BioProfessor Zheng received her Ph.D. in Mechanical & Aerospace Engineering from Princeton University (2006), B.S. in Thermal Engineering from Tsinghua University (2000). Prior to joining Stanford in 2007, Professor Zheng did her postdoctoral work in the Department of Chemistry and Chemical Biology at Harvard University. Professor Zheng is a member of MRS, ACS and combustion institute. Professor Zheng received the TR35 Award from the MIT Technology Review (2013), one of the 100 Leading Global Thinkers by the Foreign Policy Magazine (2013), 3M Nontenured Faculty Grant Award (2013), the Presidential Early Career Award (PECASE) from the white house (2009), Young Investigator Awards from the ONR (2008), DARPA (2008), Terman Fellowship from Stanford (2007), and Bernard Lewis Fellowship from the Combustion Institute (2004).
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Xueli(Sherry) Zheng
Staff Scientist, SLAC National Accelerator Laboratory
BioXueli (Sherry) Zheng is a Physical Science Research Scientist in the Department of Materials Science and Engineering at Stanford University. Dr. Zheng has over 10 years of experience in battery technology, electrochemistry, materials science, X-ray science, and catalysis. Throughout her career, she has published more than 50 peer-reviewed papers, with over 11,000 citations and an H-index 36 (according to Google Scholar). Her research focuses on 1) advancing the design, synthesis, and characterization of 2D nanomaterials, leveraging her extensive background and specialized expertise in materials synthesis and synchrotron X-ray spectroscopy/imaging characterization. 2) advanced synchrotron-based characterization techniques, particularly for studying interfaces, surfaces, and nanomaterial properties. These include in situ measurements to explore catalytic reactions, lithium metal batteries, and aqueous battery systems. 3) decarbonizing steelmaking using sustainable hydrogen; 4) critical materials including Li/Co and rare earth element characterization and extraction. 5) leveraging fundamental science to enable translational research across many sustainable energy technologies, including batteries and decarbonizing steelmaking.
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Yanhua Zheng
Lecturer
BioYanhua Zheng is a native Cantonese Speaker with more than 10 years of experience in education. She immigrated to the US in 2014 and received her combined B.A. and Masters in Chinese from San Francisco State University, one of the nations top-ranked Chinese language programs. She now lives in Palo Alto with her son and her husband. Yanhua is also an avid reader, writer, and artist.
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Zhuo Zheng
Postdoctoral Scholar, Computer Science
BioMy research interests are Earth Vision and AI4Earth, especially multi-modal and multi-temporal remote sensing image analysis and their real-world applications.
First-author representative works:
- Our Change family: ChangeStar (single-temporal learning, ICCV 2021), ChangeMask (many-to-many architecture, ISPRS P&RS 2022), ChangeOS (one-to-many architecture, RSE 2021), Changen (generative change modeling, ICCV 2023)
- Geospatial object segmentation: FarSeg (CVPR 2020) and FarSeg++ (TPAMI 2023), LoveDA dataset (NeurIPS Datasets and Benchmark 2021)
- Missing-modality all weather mapping: Deep Multisensory Learning (first work on this topic, ISPRS P&RS 2021)
- Hyperspectral image classification: FPGA (first fully end-to-end patch-free method for HSI, TGRS 2020) -
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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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.
