Yasha Iravantchi

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Hello there!

I am Yasha Iravantchi. I am a T32 Postdoctoral Scholar at the Stanford Systems Neuroscience and Pain Lab (SNAPL), mentored by Sean Mackey. My current research focuses on developing AI-driven systems for clinical support in pain and functional forecasting as a part of chronic health management, focusing on equity, privacy, and usability. This empowers patients to become active participants in their own care.

I received my Ph.D. in Computer Science and Engineering from the University of Michigan, advised by Alanson Sample. My dissertation work focused on developing novel AI-driven sensing systems that incorporate hardware guarantees at the sensor level to protect user privacy. My committee members included Kang G. Shin, Gregory Abowd, Nikola Banovic, and Anna Kratz. My Ph.D. research was generously supported by the Meta PhD Research Fellowship and the Rackham Predoctoral Fellowship.

My recent work has been recognized with the 2025 David J. Kuck Outstanding Ph.D. Dissertation Prize from University of Michigan EECS and the ACM IMWUT Distinguished Paper Award for MagDesk (2024). I am passionate about advancing accessible computing and currently serve as PC Associate Chair for CHI 2026, Web Chair for AccessSIGCHI, and Member at Large for AccessComputing.

At Stanford, I am pursuing an M.S. in Epidemiology to strengthen my foundations in clinical research methodology while developing AI systems that put patients at the center of their care journey.

news

Nov 11, 2025 Awarded the David J. Kuck Outstanding Ph.D. Dissertation Prize from University of Michigan EECS! 🏆 Grateful for the recognition of work on privacy-preserving sensing for ubiquitous health monitoring.
Sep 15, 2025 Started M.S. in Epidemiology and Clinical Research at Stanford! 📚 Combining technical expertise with clinical rigor to build better AI systems for healthcare.
Jun 09, 2025 I am joining the Systems Neuroscience and Pain Lab at Stanford Medical School as a T32 postdoctoral scholar!

latest posts

selected publications

  1. polaris.jpg
    Polaris: Accurate, Vision-free Fiducials for Mobile Robots with Magnetic Constellation
    Jike Wang, Yasha Iravantchi, Alanson P. Sample, and 3 more authors
    In Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, ACM MobiCom 2024, Washington D.C., DC, USA, November 18-22, 2024, 2024
  2. handsaw.jpg
    HandSAW: Wearable Hand-based Event Recognition via On-Body Surface Acoustic Waves
    Kaylee Yaxuan Li, Yasha Iravantchi, Yichen Zhu, and 2 more authors
    Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2025
  3. sok.jpg
    SoK: (Un)usable Privacy: the Lack of Overlap between Privacy-Aware Sensing and Usable Privacy Research
    Yasha Iravantchi, Pardis Emami Naeini, and Alanson P. Sample
    Proc. Priv. Enhancing Technol., 2025