Stanford University
Showing 2,651-2,700 of 2,733 Results
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Shu Zhang
Postdoctoral Scholar, Pathology
BioMy research interest is the correlation between tumor heterogeneity and ecDNA, especially related to drug resistance.
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Wubing Zhang
Postdoctoral Scholar, Stem Cell Biology and Regenerative Medicine
Current Research and Scholarly InterestsI'm interested in developing innovative methods and integrating multi-omics data to understand tumor-immune regulation and identify potential targets for cancer therapy.
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Yanxian Zhang
Postdoctoral Scholar, Endocrinology and Metabolism
BioThrough my academic training and research experience, I have cultivated a strong foundation in engineering and molecular biology. My work involves integrating diverse concepts from disciplines such as chemical engineering, protein engineering, supramolecular chemistry, and biophysics to address complex biomedical challenges. As a graduate student with Dr. Jie Zheng, my research focused on both natural and synthetic macromolecules. My research involved utilizing polymer chemistry to design biocompatible multifunctional hydrogels, as well as investigating the thermodynamics of amyloid proteins associated with neurodegenerative diseases. Leveraging my expertise in thermodynamics and supramolecular chemistry, I contributed to the study of understanding protein misfolding and aggregation. I identified sequence-independent inhibitors to prevent protein misfolding and developed a rational strategy for inhibitor design, enabling cross-interaction activity and the fluorescent detection of amyloids. Driven by a strong interest in translational research, I pursued postdoctoral training here at Stanford School of Medicine. In Dr. Danny Hung-Chieh Chou's lab at Stanford University, I received comprehensive training in peptide engineering and molecular biology. I am dedicated to addressing formulation challenges for insulin with stable ultra-concentrated and ultra-fast properties, aimed at miniaturizing insulin pumps and advancing the next-generation of insulin automatic delivery systems. This work is supported by the JDRF postdoctoral fellowship. Furthermore, I am working on therapeutics development and have successfully developed an insulin derivative that acts as a full insulin receptor antagonist. This development holds promise as a candidate for treating the rare disease of hyperinsulinism. Throughout my postdoctoral training, I have gained proficiency in grant writing, public speaking, and mentoring students. These experiences have significantly strengthened my skills as an independent investigator. Looking forward, my research goal is to develop innovative strategies that support the functionality and delivery of biological therapies.
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Yizi Zhang
Postdoctoral Scholar, Neurosurgery
BioYizi Zhang is a postdoctoral scholar at the Neural Prosthetics Translational Lab and the Linderman Lab. Yizi’s research centers on scalable, data-driven approaches to neural encoding and decoding, with a recent emphasis on foundation models for brain-computer interfaces. Yizi is broadly interested in developing AI-assisted neuroprosthetic technologies to help individuals with paralysis communicate and interact more effectively with the world.
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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. -
Zhe Zhang
Postdoctoral Scholar, Electrical Engineering
BioEPFL Ph.D. in Photonics 2024
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Zhenglin Zhang
Postdoctoral Scholar, Earth System Science
Current Research and Scholarly InterestsClimate change mitigation and sustainable nutrient management in agroecosystems
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Kanhao (Alex) Zhao
Postdoctoral Scholar, Psychiatry
BioDr. Zhao is a postdoctoral researcher at Stanford University specializing in computational neuroscience, neuroimaging, and integrative multi-omics approaches to brain health. His research integrates supervised and unsupervised machine learning, functional neuroimaging, microbiome sequencing, metabolomics, and large-scale clinical datasets (e.g., Alzheimer's Disease Neuroimaging Initiative and National Health and Nutrition Examination Survey) to investigate how modifiable risk factors such as obesity, diet, and gut dysbiosis contribute to accelerated brain aging, cognitive vulnerability, and psychiatric symptoms.
His work focuses on developing multimodal frameworks that combine functional brain connectivity, cognitive and emotional phenotyping, microbiome profiles, and metabolomic signatures to uncover biological mechanisms underlying early cognitive decline and neuropsychiatric disorders. Through these approaches, Dr. Zhao aims to identify personalized intervention strategies—including dietary modification, microbiome-targeted therapies, and metabolite-guided treatments—to mitigate obesity-related brain aging and reduce the risk of cognitive impairment, Alzheimer's disease, anxiety, and depression.
In addition to translational neuroscience research, Dr. Zhao develops machine learning and computational methods for biomarker discovery, disease prediction, and precision psychiatry. His recent work also explores autonomous AI research agents and self-improving computational systems for large-scale neuroimaging and multi-omics foundational analysis. His publications were in online Nature Mental Health, Molecular Psychiatry, JAMA Network Open. He serves as a peer reviewer for leading journals, including Nature Mental Health, Medical Image Analysis, IEEE Transactions on Medical Imaging, npj Digital Health, and Neuropsychopharmacology. -
Kewei Zhao
Postdoctoral Scholar, Photon Science, SLAC
Current Research and Scholarly InterestsInvestigation of catalytic mechanism of metalloenzyme with spectroscopy methods.
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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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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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Moss Zhao
Physical Science Research Scientist, Rad/Radiological Sciences Laboratory
BioDr. Moss Zhao's lab 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. -
Xiaojian Zheng
Postdoctoral Scholar, Earth System Science
BioDr. Xiaojian Zheng is a postdoctoral scholar in the Department of Earth System Science at Stanford University, working with Dr. Yuan Wang. His research targets aerosol–cloud–climate interactions, combining ground-based, airborne, and satellite observations with global and convection-permitting models, and leveraging machine learning throughout the analysis.
Xiaojian's current research directions span deep learning-based estimates of regime-dependent aerosol–cloud interactions, machine-learning emulation of aerosol microphysics inside Earth System models, and the circulation control of convection, heatwaves, and regional air quality. -
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)
