Simon A. Lee

UCLA Computational Medicine

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Simon A. Lee is a 2nd Year Ph.D. Student at UCLA working in the Computational Medicine Department. His primary work revolves around developing methods and tools that operate on health/patient data. He also has a broad interest in evaluating AI systems as well as contributing to AI4Science outside the domain of health. Prior to his time as a Ph.D. Student, he worked at Celsius Therapeutics as a Data Science Researcher and was a student at École Polytechnique Fédérale de Lausanne.

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

Jan 03, 2025 Helio’s Summer Project gets accepted into AI for Medicine and Healthcare AAAI Bridge Program and wins runner up best paper
Dec 15, 2024 Simon’s project proposal gets selected by OpenAI
Dec 10, 2024 FEET and MEDS-DEV gets accepted to be presented at NeurIPS as well as ML4H conference in Vancouver, Canada
Jul 21, 2024 I attended ICML to present joined work with Kyoka Ono about using small language models to solve tabular tasks in Vienna, Austria.
Jun 01, 2024 I was awarded the Warren Alpert Computational Biology and AI Network Fellowship

selected publications

  1. NPJ Digital Medicine
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    Multimodal clinical pseudo-notes for emergency department prediction tasks using multiple embedding model for ehr (meme)
    Simon A Lee, Sujay Jain, Alex Chen, and 4 more authors
    Under Review at NPJ Digital Medicine, 2024
  2. AAAI MedHealth
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    Using Foundation Models to Prescribe Patients Proper Antibiotics
    Simon A Lee, Helio Halperin, Yanai Halperin, and 2 more authors
    AI for Medicine and Healthcare AAAI Bridge Program 2025 (Runner Up Best Paper), 2025
  3. ML4H Demo
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    MEDS Decentralized, Extensible Validation (MEDS-DEV) Benchmark: Establishing Reproducibility and Comparability in ML for Health
    Matthew B.A. McDermott, Aleksia Kolo, Chao Pang, and 28 more authors
    In ML4H Demo Track, 2024
  4. NeurIPS Workshop
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    FEET: A Framework for Evaluating Embedding Techniques
    Simon A Lee, John Lee, and Jeffrey N Chiang
    NeurIPS SFLLM Workshop, 2024