Health Intelligence Lab

Our lab works on advancing scalable, multisensory, and generative AI to drive innovations in healthcare, medicine, and scientific discovery. Please visit my lab website below for more information.

Recent News

• I hold pro-bono office hours to mentor or provide suggestions for students in need. Please fill out this form.
• Three papers accepted to ICML 2026: SleepLM (Spotlight), OSF, and HEARTS.
• Paper on insulin resistance prediction from wearables published in Nature.
• My PhD thesis received AMIA Edward H. Shortliffe Doctoral Dissertation Award Honorable Mention.
• Papers on foundation models for wearable sensors and 3D medical volumes published at ICLR 2025 and ICML 2025 (spotlight).
• Paper published in Nature Medicine. We explore biases in medical AI and address challenges of subpopulation fairness in real-world deployments.
• I was selected for the Forbes 30 Under 30 List in Healthcare & Science (2024).
Invited talks at Stanford DBDS, Harvard DBMI, UCLA CS & CompMed, UCSD CSE & HDSI, UT Austin CS, UIUC CS, GaTech CSE, NYU CS, Rice ECE, Northeastern CS, Columbia DBMI.
MIT CSAIL featured my research in the monthly spotlight for October 2023. Check out the story and video.
I was named as the Rising Stars in Data Science by UChicago & UCSD.
My work on in-home human sleep sensing has been deployed in hospitals and patients' homes for passive monitoring of COVID-19, Parkinson's, etc.
My work on AI-based disease biomarkers is being incorporated in clinical trials for drug & biomarker discoveries for Parkinson's, ALS, etc.
My research on AI-based biomarker for Parkinson's was named by Nature Medicine as Ten Notable Advances in 2022.
My research on in-home assessment of Parkinson's was named by The Lancet Neurology as Ten Crucial Advances in Movement Disorders in 2022.
Got my Master degree from MIT EECS! My SM thesis is on structured approaches for deep learning algorithms.
My B.S. thesis won the Best Dissertation Award (10 in 400) in School of EECS at Peking University.
My work on 3D air quality monitoring via UAV sensing won the Best Project Award in IEEE ComSoc Student Competition 2017.

Talks

• [2026/06] Invited Talk & Panel @ UCLA Health Data Day
• [2026/05] Invited Talk @ Novo Nordisk
• [2026/04] Invited Talk & Panel @ UCLA Data Science in Biomedicine Symposium
• [2026/04] Invited Talk @ University of Cambridge
• [2026/04] Invited Talk @ University of Oxford
• [2026/03] Invited Talk @ University of Pittsburgh
• [2026/03] Invited Talk @ Johnson & Johnson
• [2026/02] Invited Talk & Panel @ Ametris Digital Data Summit
• [2025/12] Invited Talk @ UCLA, Department of Neurology
• [2025/12] Invited Talk @ RSNA 2025
[2025/11] Invited Talk @ AMIA 2025
[2025/11] Invited Talk @ Sleep Medicine Disruptors 2025
[2025/11] Invited Talk @ IEEE BSN 2025
[2025/11] Guest Lecture @ UCLA CS 184
[2025/10] Guest Lecture @ UCLA BIOINFO 202
[2025/10] Invited Talk @ UCLA Frontiers in Medical Informatics Seminar
[2025/09] Invited Talk @ Sword Health AI Seminar
[2025/09] Invited Talk @ Google GDG AI for Science
[2025/08] Invited Talk @ CGSI 2025
[2025/04] Guest Lecture @ Peking University
[2025/02] Invited Talk @ Microsoft Research Asia
[2025/02] Guest Lecture @ Tsinghua University, IIIS
[2024/10] Guest Lecture @ UCLA CS 201
[2024/08] Invited Talk @ Google Research
[2024/06] Invited Talk @ Stanford University
[2024/05] Invited Talk @ ICRA 2024 Workshop on Wearable Intelligence for Healthcare Robotics
[2023/11] Rising Stars Talk @ University of Chicago & UCSD
[2023/10] Invited Talk @ Cornell Tech
[2023/10] Invited Talk @ McGill University & Mila
[2023/09] Invited Talk @ Harvard University
[2023/08] Invited Talk @ Stanford University
[2023/08] Invited Talk @ University of Washington
[2023/07] Invited Talk @ Weill Cornell Medicine
[2023/07] Invited Talk @ Columbia University
[2023/06] Invited Talk @ Stanford University
[2023/06] Invited Talk @ Harvard University
[2023/06] Invited Talk @ Boston University
[2023/04] Invited Talk @ Emory University
[2023/03] Invited Talk @ Stanford University [Recording]
[2023/02] Invited Talk @ Simon Fraser University
[2022/11] Guest Lecture @ University of Illinois at Urbana-Champaign (UIUC), NE100: Bioengineering Seminar
[2022/11] Guest Lecture @ Chinese Sleep Research Society
[2022/10] Invited Talk @ Nanyang Technological University and National University of Singapore [Recording]
[2022/10] Invited Talk @ University of California, Santa Cruz
[2022/10] Guest Lecture @ Peking University People's Hospital
[2022/10] Guest Lecture @ HESAV SwissNex [Recording]
[2022/09] Invited Talk @ Peking University
[2021/09] Invited Talk @ Tsinghua University
[2021/07] Invited Talk @ Nanyang Technological University
[2020/11] Invited Talk @ Johns Hopkins University
[2020/10] Invited Talk @ University of California, Berkeley
• [Show more]

Selected Publications [Full List]

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SleepLM: Natural-Language Intelligence for Human Sleep
Zongzhe Xu, Zitao Shuai, Eideen Mozaffari, Ravi Aysola, Rajesh Kumar, Yuzhe Yang
International Conference on Machine Learning (ICML), 2026
Spotlight Presentation
[Paper] • [Project Page] • [Code] • [Model]

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OSF: On Pre-training and Scaling of Sleep Foundation Models
Zitao Shuai, Zongzhe Xu, David Yang, Wei Wang, Yuzhe Yang
International Conference on Machine Learning (ICML), 2026
[Paper] • [Project Page] • [Code] • [Model]

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HEARTS: Benchmarking LLM Reasoning on Health Time Series
Sirui Li*, Shuhan Xiao*, Mihir Joshi, Ahmed Metwally, Daniel McDuff, Wei Wang, Yuzhe Yang
International Conference on Machine Learning (ICML), 2026
[Paper] • [Project Page] • [Code] • [Dataset]

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Insulin Resistance Prediction from Wearables and Routine Blood Biomarkers
Ahmed Metwally, Ali Heydari, Daniel McDuff, Alexandru Solot, Zeinab Esmaeilpour, Anthony Faranesh, Menglian Zhou, Girish Narayanswamy, Maxwell Xu, Xin Liu, Yuzhe Yang, David Savage, Conor Heneghan, Shwetak Patel, Cathy Speed, Javier Prieto
Nature, 652, 451–461 (2026)
[Paper] • [Code] • [Google AI Blog] • [Nature News]

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SensorLM: Learning the Language of Wearable Sensors
Yuwei Zhang*, Kumar Ayush*, Siyuan Qiao, A. Ali Heydari, Girish Narayanswamy, Maxwell Xu, Ahmed Metwally, Shawn Xu, Jake Garrison, Xuhai Xu, Tim Althoff, Yun Liu, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak Patel, Cecilia Mascolo, Xin Liu, Daniel McDuff, Yuzhe Yang
Neural Information Processing Systems (NeurIPS), 2025
[Paper] • [Code] • [Google AI Blog]

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Scaling Wearable Foundation Models
Girish Narayanswamy*, Xin Liu*, Kumar Ayush, Yuzhe Yang, Xuhai Xu, Shun Liao, Jake Garrison, Shyam Tailor, Jake Sunshine, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak Patel, Samy Abdel-Ghaffar, Daniel McDuff
International Conference on Learning Representations (ICLR), 2025
[Paper] • [OpenReview] • [Google AI Blog]

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Demographic Bias of Expert-Level Vision-Language Foundation Models in Medical Imaging
Yuzhe Yang, Yujia Liu, Xin Liu, Avanti Gulhane, Domenico Mastrodicasa, Wei Wu, Edward Wang, Dushyant Sahani, Shwetak Patel

Science Advances, 11, eadq0305 (2025)
[Paper] • [Code] • [Science News]
Oral Presentation, NeurIPS 2024 GenAI for Health Workshop
Oral Presentation, RSNA 2024 Cutting-Edge Research

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The Limits of Fair Medical Imaging AI in Real-World Generalization
Yuzhe Yang*, Haoran Zhang*, Judy W. Gichoya, Dina Katabi, Marzyeh Ghassemi

Nature Medicine, 30, 2838–2848 (2024)
[Paper] • [Project Page] • [Code] • [MIT News]
Oral Presentation, NeurIPS 2023 Medical Imaging Workshop

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Machine Learning Approaches that Extend Healthcare: Algorithms & Applications
Yuzhe Yang
Ph.D. Dissertation, MIT (2024)
AMIA Edward H. Shortliffe Doctoral Dissertation Award Honorable Mention

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Demographic Bias in Misdiagnosis by Computational Pathology Models
Anurag Vaidya*, Richard Chen*, Drew Williamson*, Andrew Song, Guillaume Jaume, Yuzhe Yang, Thomas Hartvigsen, Emma Dyer, Ming Yang Lu, Jana Lipkova, Muhammad Shaban, Tiffany Y. Chen, Faisal Mahmood

Nature Medicine, 30, 1174–1190 (2024)
[Paper] • [Code] • [MGB News]

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Change is Hard: A Closer Look at Subpopulation Shift
Yuzhe Yang*, Haoran Zhang*, Dina Katabi, Marzyeh Ghassemi

International Conference on Machine Learning (ICML), 2023
[Paper] • [Project Page] • [Blog Post] • [Code] • [Talk] • [MIT News]
Oral Presentation, WAIC 2023

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SimPer: Simple Self-Supervised Learning of Periodic Targets
Yuzhe Yang, Xin Liu, Jiang Wu, Silviu Borac, Dina Katabi, Ming-Zher Poh, Daniel McDuff

International Conference on Learning Representations (ICLR), 2023
[Paper] • [OpenReview] • [Project Page] • [Code] • [Talk] • [Google AI Blog]
Notable Top 5%, Oral Presentation

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Artificial Intelligence-Enabled Detection and Assessment of Parkinson's Disease using Nocturnal Breathing Signals
Yuzhe Yang, Yuan Yuan, Guo Zhang, Hao Wang, Ying-Cong Chen, Yingcheng Liu, Christopher Tarolli, Daniel Crepeau, Jan Bukartyk, Mithri Junna, Aleksandar Videnovic, Terry Ellis, Melissa Lipford, Ray Dorsey, Dina Katabi

Nature Medicine, 28, 2207–2215 (2022)
[Paper] • [Project Page] • [Talk] • [MIT News]
Ten Notable Advances in Medicine in 2022

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Monitoring Gait at Home with Radio Waves in Parkinson's Disease: a Marker of Severity, Progression, and Medication Response
Yingcheng Liu*, Guo Zhang*, ..., Yuzhe Yang, Timothy Nordahl, Karlo Lizarraga, Jamie Adams, Ruth Schneider, Karl Kieburtz, Terry Ellis, Ray Dorsey, Dina Katabi

Science Translational Medicine, 14, eadc9669 (2022)
[Paper] • [Project Page] • [Code] • [Video] • [MIT News]
Ten Crucial Advances in Movement Disorders in 2022

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On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond
Yuzhe Yang, Hao Wang, Dina Katabi

European Conference on Computer Vision (ECCV), 2022
[Paper] • [Project Page] • [Blog Post] • [Code] • [Talk]

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Delving into Deep Imbalanced Regression
Yuzhe Yang, Kaiwen Zha, Ying-Cong Chen, Hao Wang, Dina Katabi

International Conference on Machine Learning (ICML), 2021
[Paper] • [Project Page] • [Blog Post] • [Code] • [Talk]
Long Oral Presentation

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Selected Awards

• AMIA Edward H. Shortliffe Doctoral Dissertation Award (Honorable Mention), 2025
• Sleep Medicine Disruptors Innovation Award, 2025
• Forbes 30 Under 30, 2024
• Rising Stars in Data Science, UChicago & UCSD, 2023
• Yunfan Award for Rising Stars in AI, WAIC 2023
• Takeda Ph.D. Fellowship, 2023
• Ten Notable Advances in Medicine in 2022, Nature Medicine, 2022
• Ten Crucial Advances in Movement Disorders in 2022, The Lancet Neurology, 2022
• Baidu Ph.D. Scholarship, 2022
• MathWorks Ph.D. Fellowship, 2021, 2022
• Best Undergraduate Dissertation Award, EECS, Peking University, 2018
• Best Project Award, IEEE Communications Society (ComSoc) Student Competition, 2017

Service

• Conference Organizer
  • Machine Learning for Health (ML4H) 2023
• Workshop Organizer
  • CVPR 2026 Workshop on Multimodal Foundation Models for Biomedicine
  • ICCV 2025 Workshop on Computer Vision for Automated Medical Diagnosis (CVAMD)
  • ICML 2023 Workshop on Interpretable Machine Learning in Healthcare (IMLH)
  • ICCV 2023 Workshop on Computer Vision for Automated Medical Diagnosis (CVAMD)
  • CVPR 2023 Workshop on Computer Vision for Physiological Measurement (CVPM)
• Competition Organizer
  • ISBI 2026 Competition: CXR-LT: Long-Tailed Multi-Label Chest X-ray Benchmark for Clinical AI
  • ICCV 2023 Competition: CXR-LT: Multi-Label Long-Tailed Classification on Chest X-Rays
• Tutorial Organizer
  • IEEE BSN 2026 Tutorial: How Foundation Models Can Transform Wearable Sensor Research
• Area Chair: NeurIPS, ICLR, ICML
• Associate Editor: PLOS Digital Health
• Guest Editor: PLOS Medicine
• Senior Program Committee Member: AAAI, IEEE BSN
• Conference Reviewer: NeurIPS (Top Reviewer), ICLR (Highlighted Reviewer), ICML, CVPR, ECCV (Outstanding Reviewer), ICCV, AAAI, IJCAI, UAI
• Journal Reviewer: Nature Aging, npj Digital Medicine, TPAMI, TMLR, ACM CSUR, IEEE TKDE, IEEE TIFS, IEEE TAC, IEEE TVT, IEEE IoT-J

Press

• Sensor-Language Foundation Models (SensorLM) was covered by: Google AI Blog, IoT News, Mobi Health News, Stat News, Hacker News, Pharmaphorum, Medium, Digital Health News, IMC Newsdesk, Edison Smart, Etavrian, LatestLY, Metaverse Post, and other media outlets.
• AI-based Biomarker for Parkinson's Disease using Nocturnal Breathing was covered by: MIT News, CSAIL News, Forbes, BBC, NVIDIA Technical Blog, The Washington Post, Stat News, Medscape, Boston Globe, FierceBiotech, New Atlas, University of Rochester, Yahoo, BioSpace, Futurity, NIH News, FDA News, Parkinson's News Today, Times of India, AzoRobotics, and other media outlets.
• Bias of Expert-Level Foundation Models in Medical Imaging was covered by: Science News, MGB News, Hacker News, Bioethics, Gigazine, Devdiscourse, TechTarget, and other media outlets.
• The Limits of Fair Medical Imaging AI in Real-World Generalization was covered by: MIT News, CSAIL News, Science Magazine, Psychology Today, Silicon Republic, The Medical News, Hoodline, Tech Explorist, Mirage News, My Science, MSN, Healthcare AI News, EurekAlert, Front Line Genomics, and other media outlets.
• Monitoring Gait at Home with Radio Waves in Parkinson's Disease was covered by: MIT News, CSAIL News, Boston Globe, NBC Boston, The Telegraph, Medscape, FierceBiotech, New Atlas, Parkinson's News Today, UK Time News, India Today, Yahoo, Neuroscience News, The Daily Beast, and other media outlets.
• Auditing Biases in AI Models for Healthcare was covered by: MIT News, CSAIL News, Medical Xpress, HealthLeaders, Express Healthcare, Cryptopolitan, Flipboard, Ground News, AI & ML Magazine, TS2 Space, Head Topics, and other media outlets.
• SimPer: Simple Self-Supervised Learning of Periodic Targets was covered by: Google AI Blog, AI Headliner, MarkTechPost, CatalyzeX, CJ&CO AI News, and other media outlets.
• Touchless Sleep Posture Monitoring with Wireless Signals was covered by: MIT News, Engadget, Yahoo, Sleep Review, TechTimes, SlashGear, TechSpot, Hackster, New Atlas, BGR, and other media outlets.
• Contactless In-Home Respiratory and Behavior Monitoring of COVID-19 was covered by: Wall Street Journal, CSAIL News, Boston Globe, Tech Crunch, Engadget, VentureBeat, Yahoo News, UK Time News, The Next Web, Electronics 360, Tech Times, Grid Daily, AI in Healthcare, DNYUZ, Tech Register, Inc., and other media outlets.

Miscellaneous

• 🐱 My cat Luckie (Chinese name 路吉) is a cute British Shorthair boy. Check out his latest photos and life here!
• 🎵 I am an amateur fingerstyle guitarist (favorite guitarists: Kotaro Oshio, Sungha Jung, Jaco Liu). I occasionally record my own fingerstyle guitar covers.
• 🏀 I am a big fan of basketball. I've been in the MIT CSSA basketball team, where we won 5th place in the Northeastern Division (season 2022-23). Back to my undergrad, I was a member of the PKU EECS basketball team, where we won the Champion of the 2014 PKU Freshman Cup basketball tournament.