School of Medicine


Showing 121-130 of 260 Results

  • Julie J Lee

    Julie J Lee

    Affiliate, Department Funds
    Fellow in Graduate Medical Education

    BioJulie J. Lee, MD, MPH, is a board-certified internal medicine physician and clinical informaticist at Stanford University. Dr. Lee's expertise in clinical informatics enables her to effectively implement informatics-driven approaches and clinically integrate AI models to improve patient health outcomes, alleviate physician burnout by streamlining workflows, and champion health equity.

    Dr. Lee has been key to several initiatives in improving operational processes within Stanford. Her efforts range from advancing the governance and operations of Clinical Decision Support to the strategic integration of the Prescription Drug Monitoring Program into the electronic health record (EHR), thereby reducing clinician work burden in addressing the opioid crisis. Additionally, she has worked on innovative solutions to improve patient-physician communications--she created a dynamic EHR tool for better triage and processing by medical staff before reaching the doctors.

    Health equity is her north star, informing Dr. Lee to dedicated engagement with historically underrepresented populations in medical research and collaborative partnerships between academia and community healthcare practitioners. Her previous role as an EpiScholar with the Los Angeles Department of Public Health involved researching the impact of language and acculturation on the Latino population's dietary habits and health behaviors, with a particular focus on diabetes. She has also worked with community health centers in east Los Angeles to bridge the translational gap between academic research and frontline healthcare workers, facilitating the transfer of cutting-edge liver disease research to those treating patients with substance abuse-related liver conditions. Of major clinical interest is cardiovascular disease—she has published several papers on impact of sex-specific risk factors for cardiovascular disease in women and transgender population.

    Currently, as a part of her informatics approaches, Dr. Lee focuses health equity on leveraging patient data and AI/ML models to identify and mitigate health disparities, making certain they function as instruments of equity rather than increasing gaps. She is a member of Healthcare AI Applied Research Team (HEA3RT) with a focus on bringing code to bedside.

    In the upcoming academic year, Dr. Lee will lead as health equity informaticist within the Primary Care Population Health division at Stanford.

  • Sherman Leung

    Sherman Leung

    Affiliate, Department Funds
    Resident in Emergency Medicine

    BioSherman is an emergency medicine resident physician serving patients at Stanford Hospital, Kaiser Permanente Santa Clara, and Santa Clara Valley Medical Center. Before his career in medicine, Sherman spent time as a software engineer, digital health product manager, and early-stage healthcare investor. He received an MD at the Icahn School of Medicine at Mount Sinai through the support of the Paul & Daisy Soros Fellowship and started MD+, a 501c3 non-profit dedicated to empowering aspiring physician-innovators. He cares deeply about leveraging his background in technology to support underserved patient populations and building a more equitable, efficient, and cost-effective healthcare system.

  • Simon Levinson

    Simon Levinson

    Affiliate, Department Funds
    Resident in Neurosurgery

    BioSimon was born and raised in and around New York City. He moved to California to attend the University of California, Los Angeles (UCLA) where he obtained undergraduate degrees in both political theory and neuroscience. Simon continued his education at UCLA where he attended the David Geffen School of Medicine. While a medical student he worked under the mentorship of Dr. Carlos Cepeda to investigate the cellular mechanisms underlying pediatric epilepsy. Additionally, under the mentorship of Dr. Ausaf Bari he created an MRI based structural atlas of the human brainstem. Simon is currently undergoing clinical training in neurologic surgery at Stanford University. He is interested in understanding how neural networks function and contribute to disease and how they can aid in developing novel treatment therapies. Outside of medicine, Simon enjoys spending time with his wife, going for hikes with their dog, traveling, listening to audiobooks, and running.

    Please see complete publication list on Google scholar profile: https://scholar.google.com/citations?view_op=list_works&hl=en&user=eEX91cwAAAAJ

  • David R. Li, MD

    David R. Li, MD

    Affiliate, Department Funds
    Fellow in Graduate Medical Education

    BioDr. Li is a current Critical Care Medicine fellow at Stanford Healthcare, where he stayed on after completing residency training in Emergency Medicine. He is interested in healthcare informatics and is an Epic Physician Builder. Dr. Li is active in organized medicine & health policy, currently holding leadership positions in California Medical Association, and previously serving as a California Senate legislative intern.

  • April Shichu Liang

    April Shichu Liang

    Affiliate, Department Funds
    Fellow in Graduate Medical Education

    BioApril Shichu Liang, M.D., is a fellow in the Stanford University Clinical Informatics Fellowship Program. Dr. Liang holds a B.S.E. in Computer Science from Princeton University and an M.D. from UCSF School of Medicine. She completed her Internal Medicine residency at UCSF. Dr. Liang’s clinical interests include hospital medicine, and her research interests are in implementation of machine learning tools in healthcare, clinical decision support, and data-driven quality improvement. Her past work includes the development of a machine learning model to predict incident delirium in hospitalized patients and EHR-based interventions to increase guideline-recommended public health screening.