J.D. Peiffer

PhD Candidate, Northwestern University, Shirley Ryan AbilityLab

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355 East Erie Street

Chicago, IL 60611

Hi there! I’m J.D., a PhD candidate in Biomedical Engineering at Northwestern University. I’m fortunate to work with an incredible team at the Shirley Ryan AbilityLab, where we operate at the intersection of AI and medicine, using cutting-edge machine learning techniques to enhance diagnosis, treatment, and rehabilitation.

My primary focus is on developing algorithms to reconstruct human movement from handheld smartphone videos using biomechanically grounded models. This is a complex problem, as most existing methods fail to account for biomechanics or the challenges of working with a moving camera.

Beyond my main work, I’m involved in several exciting projects: collaborating to validate our approach on upper extremity movement, exploring innovative ways to interpret the high-quality data we collect, and working to deploy our technology in real clinical settings.

news

Nov 22, 2024 After a hackthon in Vitznau, my collegues and I have released our validation of our markerless biomechanics reconstruction for the upper extremity!
Sep 04, 2024 I presented my work on smartphone video and wearable sensor fusion in Heidelberg, Germany!
Aug 07, 2024 I gave a talk about our smartphone based biomechanics at the American Society of Biomechanics Annual Meeting!
Nov 07, 2015 A long announcement with details

latest posts

selected publications

  1. fusing_fig.png
    Fusing Uncalibrated IMUs and Handheld Smartphone Video to Reconstruct Knee Kinematics
    J.D. Peiffer, Kunal Shah, Shawana Anarwala, and 2 more authors
    In 2024 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), 2024
    ISSN: 2155-1782
  2. ssl_fig.png
    Self-Supervised Learning of Gait-Based Biomarkers
    R. James Cotton, J.D. Peiffer, Kunal Shah, and 5 more authors
    In Predictive Intelligence in Medicine, 2023