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 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 life at simonlee711 [at] g [dot] ucla [dot] edu.

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

news

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
Mar 13, 2025 Simon will be joining Samsung Research this summer on the Digital Health Team advised by Sharanya Desai
Jan 03, 2025 Helio’s Summer Project gets accepted into AI for Medicine and Healthcare AAAI Bridge Program and wins runner up best paper

selected publications

  1. 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
  2. NeurIPS 2025
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    How different is my deep learning model from yours?
    Simon A Lee, Jiahang (Hank) Sha, and Jeffrey N Chiang
    Under Review at NeurIPS, 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