Simon A. Lee

UCLA Computational Medicine

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Simon A. Lee is a 3rd Year Ph.D. Student at UCLA working in the Computational Medicine Department with Dr. Jeffrey Chiang. His primary work revolves around developing methods and evaluations that operate on health data. Some of his current/past affiliations and collaborations have included Samsung Research as a Health AI Scholar, Celsius Therapeutics as a Data Science Researcher, Optum Labs and was a former student at École Polytechnique Fédérale de Lausanne. His main research interests are listed in the followng:

  • Building and Reproducing Robust Foundation Models for Health Data
  • Designing Evaluations and Benchmarks for AI Systems
  • Challenging Fallacies and Malpractices in Artificial Intelligence

Outside of research, he likes to socialize, travel, and experience brand new things. Please do reach out if you have any inquiries regarding both personal and social at simonlee711 [at] g [dot] ucla [dot] edu.

   /\_/\  
  ( o.o )  ~ Simon A. Lee
   > ^ <  

news

Nov 01, 2025 Simon’s first project on Wearable Foundation Models at Samsung is publicly available on arxiv.
Aug 01, 2025 Simon will be serving as a program committee member and help facilitate reviews for AAAI 2026 in Singapore.
Jun 04, 2025 Simon’s first journal paper and project MEME gets accepted into npj Digital Medicine
Jun 03, 2025 Simon completes his 2nd Year of PhD and moves to Mountain View to begin working at Samsung Research.
Jun 03, 2025 Ulzee, Bronson, and Simon recieve a Spotlight featured paper at ICML 2025

selected publications

  1. ICLR 2026
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    HiMAE: Hierarchical Masked Autoencoders Discover Resolution-Specific Structure in Wearable Time Series
    Simon A. Lee, Cyrus Tanade, Hao Zhou, and 13 more authors
    Under Review at ICLR 2026, 2025
  2. npj Digital Medicine
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    Clinical decision support using pseudo-notes from multiple streams of EHR Data
    Simon A Lee, Sujay Jain, Alex Chen, and 4 more authors
    npj Digital Medicine, 2025
  3. ICML 2025 Spotlight
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    Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models
    Ulzee An, Moonseong Jeong, Simon Austin Lee, and 3 more authors
    In Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025
  4. arXiv
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    Clinical ModernBERT: An efficient and long context encoder for biomedical text
    Simon A Lee, Anthony Wu, and Jeffrey N Chiang
    arXiv preprint arXiv:2504.03964, 2025