School of Medicine


Showing 271-280 of 538 Results

  • Yingjie Weng

    Yingjie Weng

    Assistant Director, Learning Health Systems Program, Med/Quantitative Sciences Unit

    Current Role at StanfordResponsibilities - Assistant Director, Learning Health Systems Program (LHS)
    Program Development & Resource Management
    •Establish and update LHS program resources, including standard operating procedures, statistical analysis plan templates, and training materials.
    Training & Mentorship
    •Host onboarding training programs for new QSU hires and conduct regular training sessions within QSU.
    •Establish and mentor a core team of statisticians and data scientists dedicated to the LHS program.
    Project Oversight & Strategy
    •Guide project assignments related to quality improvement, pragmatic trials, and real-world evidence studies utilizing electronic health records (EHRs).
    Collaboration & Relationship Management
    •Maintain strong partnerships with clinical advocates of LHS projects across collaborating departments.
    •Host onboarding sessions with department leaders to communicate the program’s mission and objectives.
    •Establish collaborations with various data teams across campus
    Education & Outreach
    •Organize educational sessions and lectures for clinical investigators across partnering departments.
    •Serve as the primary point of contact for QSU regarding the LHS program.
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    Responsibilities - Senior Biostatistician
    Scientific Collaboration & Research Support
    •Partner with research investigators on a wide range of scientific studies across the School of Medicine and Stanford Healthcare system.
    Study Design & Statistical Planning
    •Lead the development of study protocols and statistical analysis plans.
    Data Management & Analysis
    •Perform data management, visualization, and statistical analysis using advanced methodologies and tools.
    Results Interpretation & Reporting
    •Interpret statistical results and translate findings into clear, domain-specific language for publications and reports.
    Grant & Manuscript Development
    •Lead statistical methodology and results sections for grant applications, manuscript submissions, and public health reports.
    Methodological Research
    •Conduct research on statistical methodologies to enhance study designs and analytical approaches.
    Mentorship & Teaching
    •Mentor junior statisticians and serve as a KL2 research methodology mentor.
    •Deliver lectures, including presentations for Hospital Medicine Grand Rounds.

  • Gerlinde Wernig

    Gerlinde Wernig

    Associate Professor of Pathology

    Current Research and Scholarly InterestsFibrotic diseases kill more people than cancer in this country and worldwide. We believe that scar-forming cells called fibroblasts are at the core of the fibrotic response in parenchymal organ fibrosis in the lung, liver, skin, bone marrow and tumor stroma. At the cellular level we think of fibrosis as a step wise process which implicates inflammation and fibrosis. We seek to identify new effective immune therapy targets to treat fibrotic diseases.

  • Marius Wernig

    Marius Wernig

    Professor of Pathology and, by courtesy, of Chemical and Systems Biology

    Current Research and Scholarly InterestsEpigenetic Reprogramming, Direct conversion of fibroblasts into neurons, Pluripotent Stem Cells, Neural Differentiation: implications in development and regenerative medicine

  • Philipp Wesp

    Philipp Wesp

    Postdoctoral Scholar, Radiology

    BioI am a postdoctoral researcher investigating interpretable machine learning (ML) and large language model (LLM) applications in clinical radiology. My current research focuses on two complementary areas: understanding what human-interpretable concepts self-supervised vision foundation models learn through mechanistic interpretability techniques like sparse autoencoders, and developing LLM-based systems, including agentic workflows and retrieval augmented generation (RAG) architectures, that leverage unstructured hospital data to improve radiological workflows. I earned my PhD from LMU Munich, where I focused on clinically motivated machine learning applications in medical imaging in the Department of Radiology.

    My work is partially funded by a Walter Benjamin Fellowship from the DFG (German Research Foundation).