Girish Narayanswamy

I am a final year PhD Student at the University of Washington Ubicomp Lab where I am advised by Professor Shwetak Patel. I additionally collaborate closely with Daniel McDuff and Xin Liu at Google, where I spent two years as a Student Researcher.

I am primarily interested in developing solutions which expand health access and improve health sensing. Specifically, my research lies at the intersection of aritifical intelligence, signal processing, and sensing as applied to human health. My most recent works explore the development of sensor foundation models (LSM-1, LSM-2, SensorLM) and their utility in understanding human physiology and behavior.

Before joining UW, I attended the University of Colorado Boulder, where I completed a B.S. in Electrical and Computer Engineering with emphases in signal processing and embedding systems. Over the course of my undergraduate and graduate studies I have had the opportunity to intern at Google, OctoAI, Uplinq AI, Qualcomm, and Medtronic.

In my free time I enjoy being outside (hiking, camping, skiing), drawing, photography, and spending time with friends and family. While at CU I had the honor to play for Mamabird, the university’s ultimate frisbee team – a perennial national contender. I am also a black belt in Shotokan Karate.

selected publications

LSM-2: Learning from Incomplete Wearable Sensor Data

Girish Narayanswamy^*, Maxwell A Xu^*, Kumar Ayush, and 22 more authors

arXiv preprint arXiv:2506.05321, 2025

arXiv Bib Blog

@article{xu2025lsm,
  title = {LSM-2: Learning from Incomplete Wearable Sensor Data},
  author = {Narayanswamy, Girish and Xu, Maxwell A and Ayush, Kumar and Spathis, Dimitris and Liao, Shun and Tailor, Shyam A and Metwally, Ahmed and Heydari, A Ali and Zhang, Yuwei and Garrison, Jake and and Samy Abdel-Ghaffar and Xu, Xuhai and Gu, Ken and Sunshine, Jacob and Poh, Ming-Zher and Liu, Yun and Althoff, Tim and Narayanan, Shrikanth and Kohli, Pushmeet and Malhotra, Mark and Patel, Shwetak and Yang, Yuzhe and Rehg, James M. and Liu, Xin and McDuff, Daniel},
  journal = {arXiv preprint arXiv:2506.05321},
  year = {2025},
}

SensorLM: Learning the Language of Wearable Sensors

Yuwei Zhang, Kumar Ayush, Siyuan Qiao, and 17 more authors

In The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025

arXiv Blog

Scaling Wearable Foundation Models

Girish Narayanswamy^*, Xin Liu^*, Kumar Ayush, and 14 more authors

In The Thirteenth International Conference on Learning Representations, 2025

Bib PDF Blog Website

@inproceedings{narayanswamyscaling,
  title = {Scaling Wearable Foundation Models},
  author = {Narayanswamy, Girish and Liu, Xin and Ayush, Kumar and Yang, Yuzhe and Xu, Xuhai and Garrison, Jake and Tailor, Shyam A and Sunshine, Jacob and Liu, Yun and Althoff, Tim and and Shrikanth Narayanan and Kohli, Pushmeet and Zhan, Jiening and Malhotra, Mark and Patel, Shwetak and Abdel-Ghaffar, Samy and McDuff, Daniel},
  year = {2025},
  booktitle = {The Thirteenth International Conference on Learning Representations},
}

Bigsmall: Efficient multi-task learning for disparate spatial and temporal physiological measurements

Girish Narayanswamy, Yujia Liu, Yuzhe Yang, and 4 more authors

In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Bib PDF Code Website

@inproceedings{narayanswamy2024bigsmall,
  title = {Bigsmall: Efficient multi-task learning for disparate spatial and temporal physiological measurements},
  author = {Narayanswamy, Girish and Liu, Yujia and Yang, Yuzhe and Ma, Chengqian and Liu, Xin and McDuff, Daniel and Patel, Shwetak},
  booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
  pages = {7914--7924},
  year = {2024},
}

rppg-toolbox: Deep remote ppg toolbox

Xin Liu, Girish Narayanswamy^*, Akshay Paruchuri^*, and 7 more authors

Advances in Neural Information Processing Systems, 2023

Bib PDF Code

@article{liu2023rppg,
  title = {rppg-toolbox: Deep remote ppg toolbox},
  author = {Liu, Xin and Narayanswamy, Girish and Paruchuri, Akshay and Zhang, Xiaoyu and Tang, Jiankai and Zhang, Yuzhe and Sengupta, Roni and Patel, Shwetak and Wang, Yuntao and McDuff, Daniel},
  journal = {Advances in Neural Information Processing Systems},
  volume = {36},
  pages = {68485--68510},
  year = {2023},
}

news

Jul 22, 2025	LSM-2 is featured on the Google Research Blog.
Jul 04, 2025	Our workshop, TS4H (Time-Series for Health), was accepted to NeurIPS ‘25!
Jun 08, 2025	Google open sourced my on-device respiratory sensing models! Find them on Github and Hugging Face!
Apr 26, 2025	Presenting LSM at ICLR ‘25. Excited to explore Singapore!
Nov 20, 2020	LSM is featured on the Google Research Blog.