School of Medicine
Showing 11,901-12,000 of 12,940 Results
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Ellen Wang
Clinical Professor, Anesthesiology, Perioperative and Pain Medicine
Clinical Professor, Clinical InformaticsBioEllen Wang, MD is a Clinical Associate Professor of Pediatric Anesthesiology and Medical Director of Clinical Informatics for Perioperative Services at Lucile Packard Children’s Hospital Stanford. She is board-certified in Pediatric Anesthesiology and Clinical Informatics, with particular emphasis on EHR enhancement and optimization projects that support surgical, nursing, and pediatric and obstetric anesthesia workflows. She is also Chief of Operations of the Stanford Chariot Program, combining her interest in clinical care, process improvement, data analytics and research with virtual/augmented reality technologies to advance and evolve standards in patient care.
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Gordon Wang
Clinical Associate Professor, Psychiatry and Behavioral Sciences
BioGordon Wang received his Bachelors of Arts and Science from the University of California, Davis in 2000 majoring in Comparative literature and Genetics. He received his PhD under Dr. Mu-ming Poo at the University of California, Berkeley in 2005 studying the role of ion channels in mediating neuronal growthcone guidance decisions. As a postdoctoral scholar in the lab of Dr. Stephen Smith at Stanford University, Gordon developed a computational architecture for the detailed study of molecular diversity in synapses and using this system, he studied the diverse role of synaptic diversity in neurodevelopmental diseases, such as fragile x syndrome. In a co-postdoc in Dr. Philippe Mourrain's lab, he studied the dynamic plasticity of synapses in sleep and circadian cycles in larval zebrafish using multi-photon microscopy. The Wang lab focuses on developing imaging tools to deeply analyze proteins, mRNA and lipids at the synapses, and understand how synaptic heterogeneity affect the function of neural circuits throughout development and aging and in diseases such as autism and fragile x syndrome.
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Haojie Wang
Postdoctoral Scholar, Medicine
BioHi, I am a Postdoctoral Fellow at Stanford Data Science, with a joint appointment at School of Medicine. I am interested in using insights from data science and remote sensing to address the challenges of sustainable development. I develops GeoAI approaches for detecting labor trafficking in supply chains, population health monitoring, natural hazard forecasting, and advancing understanding of how environmental risks interact with human health.
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Jack Tzu-Chieh Wang, MD, PhD
Instructor, Adult Neurology
Current Research and Scholarly InterestsOur primary research focus is understanding the molecular mechanisms of axonal degeneration and subsequent failure of axonal regeneration in the CNS. We have identified critical cellular pathways mediating axonal degeneration following acute neurological injuries including ischemic stroke and traumatic brain injury. Modulating these pathways presents a novel therapeutic strategy to protect vulnerable nerve fibers and enhance functional recovery in a multitude of acute CNS injuries and diseases.
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Jennifer Y. Wang, MD
Clinical Assistant Professor, Dermatology
BioDr. Wang is a board-certified dermatologist. She is a Clinical Assistant Professor of Dermatology at Stanford University School of Medicine. Dr. Wang is also board-certified in dermatopathology.
Her clinical interests include medical dermatology and cutaneous oncology, including melanoma, high-risk skin cancer, and cutaneous lymphoma. Her research interests include the histopathologic characterization of rare skin disorders and improving the detection and treatment of skin cancers. -
Jie Wang
Postdoctoral Scholar, Radiology
BioDr. Jie Wang is deeply passionate about magnetic nanotechnology, including magnetic resonance imaging (MRI), magnetic particle imaging (MPI), magnetic nanoparticles (MNPs), magnetic nanofluid hyperthermia (MNFH), magnetic biosensors, etc., for biomedical applications. His dissertation focuses on MRI-guided magnetic hyperthermia for cancer theranostics. Currently, his research interests include developing enzyme-activable nanoparticles for brain cancer theranostics and employing multi-modal imaging modalities to investigate the interaction between nanoparticles and biosystems (nano-bio interaction) within tumor microenvironment.
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Lei Wang
Clinical Professor, Radiation Oncology - Radiation Physics
BioLei Wang, PHD, DABR, is a clinical professor in the Department of Radiation Oncology at Stanford, motivated in advancing patient quality of care, improving education for residents and trainees, and conducting clinical research to improve the quality and accuracy in treatment delivery. She is an expert in CyberKnife SRS/SBRT with more than 15 years of experiences. She currently serves as the chair of the AAPM task group 135.B committee on quality assurance for robotic radiosurgery.
Research interest: small field dosimety, machine and patient quality assurance, treatment planning, etc; new QA tool and methodology development; new treatment technology implementation to keeping high standard in patient care. -
Li Wang
Assistant Professor of Biology
Current Research and Scholarly InterestsWe study how the extraordinary diversity of cells and synapses in the brain is generated, organized, and maintained, and how these processes are disrupted in diseases such as neurodevelopmental disorders and brain cancer. By combining single-cell and spatial genomics, lineage tracing, perturbation screens, synaptic proteomics, and machine learning models, we aim to uncover the molecular rules that define neural identity and connectivity.
Our research spans two interrelated themes, each grounded in human biology and driven by cutting-edge technologies. By comparing these processes across species, we aim to uncover both conserved mechanisms and human-specific innovations that define the unique features of the human brain. -
Marie Wang
Clinical Professor, Pediatrics
Current Research and Scholarly InterestsEvaluation and management of the febrile young infant and infections in hospitalized children; promotion of appropriate antibiotic use.
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Nancy Ewen Wang
Professor of Emergency Medicine (Pediatrics), Emerita
Current Research and Scholarly Interests- Disparities in Emergency Medical Services for children.
- Efficacy of novel interventions for pediatric access to care.
- Teaching and supporting community-initiated interventions and programs internationally. -
Paul J. Wang, MD
John R. and Ai Giak L. Singleton Director, Professor of Medicine (Cardiovascular Medicine) and, by courtesy, of Bioengineering
Current Research and Scholarly InterestsDr. Wang's research centers on the development of innovative approaches to the treatment of arrhythmias, including more effective catheter ablation techniques, more reliable implantable devices, and less invasive treatments. Dr. Wang's clinical research interests include atrial fibrillation, ventricular tachycardia, syncope, and hypertrophic cardiomyopathy. Dr. Wang is committed to addressing disparities in care and is actively involved in increasing diversity in clinical trials.
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Po Wang
Clinical Professor, Psychiatry and Behavioral Sciences
Current Research and Scholarly InterestsBipolar Disorders, Psychopharmacology, Treatment, Anticonvulsants, Mood stabilizers
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Samantha Wang
Clinical Associate Professor, Medicine
BioSamantha Wang earned her Bachelors degree in Molecular & Cell Biology from the University of California, Berkeley, followed by MD and Masters in Health Science degrees from Yale University School of Medicine. After completing her internal medicine residency at Stanford, Dr. Wang served as Chief Resident for the Internal Medicine Residency and subsequently joined the Division of Hospital Medicine, where she now contributes her expertise in the care of acutely ill adult patients.
Outside her clinical work, Dr. Wang is deeply committed to medical education, health equity, and patient-centered communication. She has been recognized for her exceptional teaching with the David A. Rytand Teaching Award, and subsequently completed a Rathmann Family Foundation Fellowship in Medical Education in Patient-Centered Care. With leadership roles in both undergraduate and graduate medical education programs, Dr. Wang is actively engaged and committed in shaping the future of health care professionals.
Dr. Wang is deeply passionate about health equity and has spoken nationally on the topic of racial justice in clinical decision-making. She has received institutional and national funding to develop and study health equity curricula across the continuum of medical education, and is the course director for the "5-Minute Moment for Racial Justice", which advocates for justice, equity, diversity, and inclusion in medical decision making. As a member of the Stanford 25 Bedside Medicine and Presence Groups, she strives to create a more equitable and inclusive learning environment. In her research endeavors, Samantha employs a comprehensive approach, utilizing quantitative and qualitative methodologies, alongside participatory qualitative approaches with community partners. Her focus is on understanding how to effectively teach health equity in the clinical learning environment.
Her quality improvement work is centered on improving communication skills around serious illness diagnoses, and she has trained students, residents, and other faculty members in these skills. Dr. Wang believes that the best doctors combine intellectual acumen with the ability to connect with patients on a personal level, bringing thoughtfulness, kindness, and authenticity to the bedside. In her care of complex patients with serious diagnoses, she consistently advocates for incorporating loved ones' and the patient's values into the care plan, ensuring a holistic and patient-centered approach. -
Sen Wang
Instructor, Radiology
BioDr. Wang is a research scientist in the Wang group. He previously completed his postdoctoral fellowship in the Wang group and his BS and PhD in the Department of Engineering Physics at Tsinghua University. Sen's research interests focus on technologies and methods for image processing, reconstruction, and recognition, especially in the medical field. His PhD work investigated reconstruction algorithms and applications of x-ray spectral imaging, including photon counting detector modeling and correction, as well as quantitative imaging and computer vision with deep learning on x-ray images and other medical images.
At Stanford, Dr. Wang works on advanced CT detector designs and imaging algorithms. -
Shan X. Wang
Leland T. Edwards Professor in the School of Engineering and Professor of Electrical Engineering and, by courtesy, of Radiology (Molecular Imaging Program at Stanford)
Current Research and Scholarly InterestsShan Wang was named the Leland T. Edwards Professor in the School of Engineering in 2018. He directs the Center for Magnetic Nanotechnology and is a leading expert in Edge AI, biosensors, information storage and spintronics. His research and inventions span across a variety of areas including Edge AI, magnetic biochips, in vitro diagnostics, cancer biomarkers, magnetic nanoparticles, magnetic sensors, magnetoresistive random access memory, and magnetic integrated inductors.
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Shen Wang
Affiliate, Ophthalmology Clinic and Education
BioShen Wang is a medical student with a keen interest in ophthalmology, digital health, and healthcare innovation. He will be joining Stanford’s Byers Eye Institute. He hasresearch experience at Johns Hopkins and works as an analyst at Osara Health and Optain Health. Outside of medicine, he’s been involved in management consulting, co-founded a med-tech initiative, and enjoys sports like rowing and basketball. He’s also passionate about community outreach, having volunteered in rural Australia and Vietnam. Shen hopes to combine his clinical training with technology and innovation to improve healthcare access and outcomes.
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Sophia Y. Wang, MD, MS
Assistant Professor of Ophthalmology
Current Research and Scholarly InterestsI use and integrate a wide variety of data sources in my research, spanning both structured and unstructured forms, including national survey datasets, health insurance claims data, patient generated online text, surgical video, and electronic health records. I investigate outcomes of treatments for glaucoma and cataract, as well as other areas of ophthalmology. My focus is on developing artificial intelligence methods to predict ophthalmology outcomes, while ensuring fairness.
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Sui Wang, PhD
Associate Professor of Ophthalmology
Current Research and Scholarly InterestsOur research focuses on unraveling the molecular mechanisms underlying retinal development and diseases. We employ genetic and genomic tools to explore how various retinal cell types, including neurons, glia, and the vasculature, respond to developmental cues and disease insults at the epigenomic and transcriptional levels. In addition, we investigate their interactions and collective contributions to maintain retinal integrity.
1. Investigating retinal development:
We utilize genetic tools and methods such as in vivo plasmid electroporation and CRISPR to dissect the roles of cis-regulatory elements and transcription factors in controlling retinal development.
2. Understanding diabetes-induced cell-type-specific responses in the retina:
Diabetes triggers a range of multicellular responses in the retina, such as vascular lesions, glial dysfunction, and neurodegeneration, all of which contribute to retinopathy. We delve into the detailed molecular mechanisms underlying these diabetes-induced cell-type-specific responses and the pathogenesis of diabetic retinopathy.
3. Developing molecular tools for labeling and manipulation of specific cell types in vivo:
Cis-regulatory elements, particularly enhancers, play pivotal roles in directing tissue- and cell-type-specific expression. Our interest lies in identifying enhancers that can drive cell type-specific expression in the retina and brain. We incorporate these enhancers into plasmid or AAV-based delivery systems, enabling precise labeling and manipulation of specific cell types in vivo. -
Taia T. Wang, MD, PhD, MSCI
Associate Professor of Medicine (Infectious Diseases) and of Microbiology and Immunology
Current Research and Scholarly InterestsLaboratory of Mechanisms in Human Immunity and Disease Pathogenesis
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Tao Wang (王韬)
Director of Precision Diabetes Care, Genetics
Current Role at StanfordPrincipal Investigator, AI for Precision Diabetes Management
Project Manager & Scientific Co-lead, PsychENCODE Project
Project Initiator & Clinical Co-lead, Long COVID Clinical RCT with TCM
Project Initiator & Manager, AI & Wearables Toolkit for Biomedical Sciences
ENCODE and PsychENCODE Project Data Manager
Research Scientist, US Veteran Affairs Hospital
SCGPM HPC System Administrator -
Teresa Wang
Klaus Bensch Professor in Experimental Pathology, Emerita
Current Research and Scholarly InterestsThe main focus of our research is to understand how cells maintain genome integrity by checkpoint mechanisms during chromosome replication.
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Tong Wang
Affiliate, Department Funds
Resident in PathologyBioTong Wang, MD, PhD, is a physician-scientist in clinical pathology with interests in nucleic acid chemical biology, epigenetics, and clinically useful tests.
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Wenjun Wang
Postdoctoral Scholar, Stem Cell Transplantation
Current Research and Scholarly InterestsMy postdoctoral research focuses on investigating novel therapy for childhood leukemias.
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Wenmin Wang
Postdoctoral Scholar, Ophthalmology
Current Research and Scholarly InterestsI am particularly interested in identifying therapeutic strategies for various eye disorders and investigating the mechanisms by which defects in inositol phosphatases lead to the disruption of primary cilia function and eye diseases by using Omics.
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Xinnan Wang
Professor of Neurosurgery
Current Research and Scholarly InterestsMechanisms underlying mitochondrial dynamics and function, and their implications in neurological disorders.
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Tauska Lan
Affiliate, Genetics - BASE
BioI'm an ML engineer specializing in LLM post-training and agentic systems—with a particular focus on domains where rigor matters: health, biology, and scientific discovery.
Long-horizon agents — Designed and shipped multi-step orchestration systems (Pantheon-CLI, OmicVerse Agent) that outperform general SWE-agent baselines on biomedical tasks. Built cross-provider query routing and sandboxed execution to keep complex workflows robust over extended interactions. My agents don't just respond—they plan, recover from failure, and complete real research pipelines end-to-end.
Agentic science — Created infrastructure where AI doesn't assist research—it conducts it. Vectorized 30 years of NHANES data; parallelized Bayesian kernel machine regression on Kubernetes; built TCGA/GEO pipelines that bridge wet-lab and dry-lab workflows. Co-developed OmicVerse, an open-source platform powering reproducible multi-omics and single-cell analyses across hundreds of studies.
Experience engineering — Scaled rubric-based reward datasets to 1M+ pairs; trained summary and chain-of-thought reward models via RLAIF/RLHF; delivered measurable benchmark lifts in health AI. I care about the full loop: data curation → reward shaping → careful ablation → verifiable outcome—no cherry-picked demos—just metrics that survive scrutiny.
Currently pursuing advanced agentic studies at Karolinska Institutet and Stanford!
Open-source: OmicVerse · Pantheon-CLI · RAG Web UI · AstrBot
If you're working on post-training at scale, scientific agents, or high-integrity data pipelines—I'm always interested in systems that move from promising results to verifiable outcomes. Let's talk. -
Xunda Wang
Basic Life Research Scientist, Neurosurgery
Current Role at StanfordResearch Scientist
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Yiyu Wang
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioDr. Yiyu Wang is a T32 postdoctoral researcher at the Department of Anesthesiology, Stanford School of Medicine. Her research combines computational models and neuroimaging techniques to characterize the neural architecture underlying complex human experiences in emotion and pain. Her current work focuses on leveraging deep learning, foundation models, and explainable AI to improve neuroimaging-based markers as well as multi-modal markers of chronic pain.
