Lauren Lederer

Work

I’m a PhD Candidate at Duke University, where I’m an NSF Fellow in the Traineeship for the Advancement of Surgical Technologies and a Duke Rhodes Information Initiative Fellow for Interdisciplinary Research. I completed my M.S in Biomedical Engineering at Duke, with a focus on Medical Device Design and Innovation. Previously, I was a Program Manager and Research Engineer at STR, building autonomous agents for U.S. defense and national security agencies.

Lauren Lederer and Jessilyn Dunn examining a wearable sensor in the BIG IDEAs Lab
With my advisor, Jessilyn Dunn, in the BIG IDEAs Lab.

Projects

  • Predicting postoperative complications at home

    Duke Health · BIG IDEAs Lab · Ongoing

    Deploying commercial wearables to cancer surgery patients to forecast complications during home recovery, from study design through modeling.

    • Wearables
    • Clinical Study
    • ML
    Preprint

  • Digital Biomarkers for opioid relapse

    FDA · Oura · Digital Medicine Society

    Partnered across regulator, device maker, and nonprofit to develop a wearable-derived risk prediction engine for relapse in opioid use disorder.

    • Wearables
    • Digital Biomarkers
    • Regulatory
    Oura DiMe Society FDA

  • Wearable metabolic monitoring

    Duke Center for Computational and Digital Health Innovation · Ongoing

    Leading development of wearable-based systems for tracking Metabolic Health, aimed at making diabetes management easier.

    • Wearables
    • Metabolic Health
    • Digital Biomarkers
    Article

  • Pain and clinical modifiers in gynecological procedures

    Duke Department of Obstetrics and Gynecology · Ongoing

    Investigating reported pain and the clinical factors that shape it across gynecological procedures.

    • Clinical Study
    • Women's Health

  • Autonomous agents for command and control

    STR · Program Manager and Research Engineer

    Developed autonomous agents for command and control systems serving U.S. defense, intelligence, and national security agencies.

    • ML
    • Autonomy

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