School of Medicine


Showing 51-60 of 95 Results

  • Tushar Mungle

    Tushar Mungle

    Postdoctoral Scholar, Biomedical Informatics

    Current Research and Scholarly InterestsUse electronic health records (EHRs) to identify and classify common ocular diseases such as glaucoma, diabetic retinopathy, and macular degeneration. We aim to develop an approach to accurately identify these conditions using EHRs. This will be followed by cluster analysis to identify novel subtypes of these conditions that have not been recognized before. Finally, we will develop an approach to extract outcome data from EHRs for patients with these conditions in the primary care setting.

  • Mark Musen

    Mark Musen

    Stanford Medicine Professor of Biomedical Informatics Research, Professor of Medicine (Biomedical Informatics) and of Biomedical Data Science

    Current Research and Scholarly InterestsModern science requires that experimental data—and descriptions of the methods used to generate and analyze the data—are available online. Our laboratory studies methods for creating comprehensive, machine-actionable descriptions both of data and of experiments that can be processed by other scientists and by computers. We are also working to "clean up" legacy data and metadata to improve adherence to standards and to facilitate open science broadly.

  • Fateme Nateghi Haredasht

    Fateme Nateghi Haredasht

    Postdoctoral Scholar, Biomedical Informatics

    BioAs a postdoctoral scholar at the Stanford Center for Biomedical Informatics Research, I find myself at the exciting intersection of machine learning and healthcare. My journey began with a PhD in Biomedical Sciences from KU Leuven in Belgium, where I delved into the complexities of machine learning algorithms and their transformative potential in healthcare settings. My research, particularly focused on adapting these algorithms for time-to-event data (a method used for predicting specific events in a patient’s future), has not only been a challenging endeavor but also a deeply fulfilling one.

    Now at Stanford, my role involves not just advancing machine learning integration in healthcare, but also collaborating with a diverse team of experts. Together, we're striving to unravel complex healthcare challenges and improve patient outcomes.

  • Madelena Ng

    Madelena Ng

    Postdoctoral Scholar, Biomedical Informatics

    BioDr. Ng is a postdoctoral fellow at the Stanford Center for Biomedical Informatics Research, mentored by Dr. Tina Hernandez Boussard. Her research aims to illuminate the evolving ethical and practical challenges with emerging technologies used for health purposes. Prior to joining Stanford, Dr. Ng facilitated mobile- and internet-based health research initiatives with the Health eHeart Study and the Eureka Digital Research Platform and developed research study prototypes that used blockchain technology for health data exchange. Her current work focuses on discerning key challenges that exist at each stage of the AI life cycle and generating informed guidance to drive the responsible and equitable use of AI for patient care.

  • Minh Nguyen

    Minh Nguyen

    Ph.D. Student in Biomedical Informatics, admitted Autumn 2018
    Ph.D. Minor, Management Science and Engineering

    Bio@DARE fellow (Diversifying Academia, Recruiting Excellence) https://vpge.stanford.edu/people/minh-nguyen

    @Data Science Scholar
    https://datascience.stanford.edu/people/minh-nguyen

  • Justin Norden, MD, MBA, MPhil

    Justin Norden, MD, MBA, MPhil

    Adjunct Professor, Med/BMIR

    BioDr. Justin Norden is an Adjunct Professor at Stanford Medicine in the Department of Biomedical Informatics Research. He teaches courses on digital health and AI in Medicine. His research focuses on AI in healthcare, digital health, and care system transformation.

    Additionally, Dr. Norden is a Partner at GSR Ventures where he focuses on early-stage investments in digital health and AI/ML in healthcare. Prior to GSR Ventures, Dr. Norden was founder and CEO of Trustworthy AI which was acquired by Waymo (Google Self-Driving). He worked on the healthcare team at Apple, co-founded Indicator (an NLP based platform for biopharma decision making), and helped start the Stanford Center for Digital Health.

    Dr. Norden received an MD from Stanford University School of Medicine, where he served as student body president. An MBA from the Stanford Graduate School of Business, where he served as president of the healthcare club. An M.Phil in Computational Biology with distinction from the University of Cambridge, and a BA in Computer Science with distinction from Carleton College.

    Finally, he is a professional athlete for the Oakland Spiders (ultimate frisbee) - holding the team all-time records for assists and completions. He is a 3x World Champion, 1x professional champion, former Team USA Captain (U24), and D1 University National Champion.

  • Natalie Pageler

    Natalie Pageler

    Clinical Professor, Peds/Clinical Informatics
    Clinical Professor, Medicine - Biomedical Informatics Research

    Current Research and Scholarly InterestsIn my administrative role, I oversee the development and maintenance of clinical decision support tools within the electronic medical record. These clinical decision support tools are designed to enhance patient safety, efficiency, and quality of care. My research focuses on rigorously evaluating--1) how these tools affect clinician knowledge, attitudes, and behaviors; and 2) how these tools affect clinical outcomes and efficiency of health care delivery.