simon a. lee

There are no bounds to curiousity

© 2026 simon a. lee Jekyll Themes

papers

  1. Jiahang Hank Sha, Simon A. Lee, Wei Wang (2026). Forcing Clinical Foundation Models to Fail Safely: Event-Conditional Calibration for Rare-Event Survival Prediction arXiv (to appear) [pdf]
  2. Simon A. Lee, Jiahang Hank Sha, Soomin Chung, Kai Akamatsu, Eran Halperin, Jeffrey N Chiang (2026). Forecasting Patient Trajectories from the Electronic Health Records with World Models arXiv (to appear) [pdf]
  3. Weizhi Zhang, Zechen Li, Hamid Palangi, Ben Graef, A Ali Heydari, Simon A Lee, Salman Rahman, Ray Luo, Zeinab Esmaeilpour, Erik Schenck, Chloe Zhang, Yamin Li, Menglian Zhou, Philip S Yu, Daniel McDuff, Lindsey Sunden, Mark Malhotra, Shwetak Patel, Ahmed A Metwally (2026). RubricsTree: Scalable and Evolving Open-Ended Evaluation of Personal Health Agents across Health Memory and Medical Skills arXiv:2606.18203 [pdf]
  4. Zechen Li, Keerthana Natarajan, Weizhi Zhang, Menglian Zhou, Simon A Lee, Yuwei Zhang, Maxwell A Xu, Zeinab Esmaeilpour, Flora D Salim, Mark Malhotra, Lindsey Sunden, Shwetak Patel, Yuzhe Yang, Ahmed A Metwally (2026). GlucoFM: A Dual-Stream Foundation Model for Continuous Glucose Monitoring arXiv:2605.30865 [pdf]
  5. Matthew BA McDermott, Ethan Steinberg, Jason A Fries, Robin P van de Water, Chao Pang, Patrick Rockenschaub, Pawel Renc, Jungwoo Oh, Kamilė Stankevičiūtė, Justin Xu, Tom J Pollard, Nassim Oufattole, Michael Wornow, Teya S Bergamaschi, Hyewon Jeong, Simon A Lee, Vincent Jeanselme, Kiril V Klein, Mikkel Odgaard, Maria E Montgomery, Arkadiusz Sitek, Mads Nielsen, Jeffrey N Chiang, Noa Dagan, Isaac Kohane, Shalmali Joshi, Edward Choi, Nigam H Shah (2026). MEDS—An Emerging Data Standard and Ecosystem for Health AI Research NEJM AI 3(6) [pdf]
  6. Hao Zhou, Simon A. Lee, Cyrus Tanade, Keum San Chun, Juhyeon Lee, Migyeong Gwak, Megha Thukral, Justin Sung, Eugene Hwang, Mehrab Bin Morshed, Li Zhu, Viswam Nathan, Md Mahbubur Rahman, Subramaniam Venkatraman, Sharanya Arcot Desai (2026). Physiology-aware masked cross-modal reconstruction for biosignal representation learning Proceedings of the 43rd International Conference on Machine Learning [pdf]
  7. Baiying Lu, Quan Dong, Sharanya Desai, Hao Zhou, Cyrus Tanade, Simon Lee, Chaoyi Kang (2026). Feasibility of Ectopic Beat Detection and Count Estimation from Smartwatch-Based Photoplethysmography ICASSP 2026-2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) [pdf]
  8. Hao Zhou, Md Mahbubur Rahman, Simon A Lee, Baiying Lu, Juhyeon Lee, Cyrus Tanade, Megha Thukral, Md Sazzad Hissain Khan, Samsad Ul Islam, Subramaniam Venkatraman, Sharanya Arcot Desai (2026). A Personalized Real-Time Proactive Voice Memory Assistant ICASSP 2026-2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) [pdf]
  9. Juhyeon Lee, Simon A Lee, Cyrus Tanade, Viswam Nathan, Megha Thukral, Hao Zhou, Keum San Chun, Sharanya Arcot Desai (2026). Multimodal Self-Supervised Learning for Wearable Sleep Staging Using Photoplethysmography and Accelerometer Signals ICASSP 2026-2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) [pdf]
  10. Anthony Wu, Adrian Au, Justin Hanson, Marcus Yamamoto, Joy Cheng, Simon Lee, Tal Eshkoly Lior, Oren Avram, SriniVas R Sadda, Alison B Coyne, Nisha R Acharya, Brian Madow, Jeffrey N Chiang, Edmund Tsui (2026). Quantitative Analysis of Retinal Fluid by a Deep Learning Model in Uveitic Macular Edema Ophthalmology Science [pdf]
  11. Megha Thukral, Cyrus Tanade, Simon A Lee, Juhyeon Lee, Hao Zhou, Keum San Chun, Migyeong Gwak, Viswam Nathan, Md Mahbubur Rahman, Li Zhu, Mehrab Bin Morshed, Subramaniam Venkatraman, Sharanya Arcot Desai (2026). Wavelet-Driven Masked Multiscale Reconstruction for PPG Foundation Models arXiv:2601.12215 [pdf]
  12. Zilin Jing, Vincent Jeanselme, Yuta Kobayashi, Simon A Lee, Chao Pang, Aparajita Kashyap, Yanwei Li, Xinzhuo Jiang, Shalmali Joshi (2026). HiMAE: Hierarchical Masked Autoencoders Discover Resolution-Specific Structure in Wearable Time Series ICML 2026 Workshop on Structured Data for Health (Spotlight) [pdf]
  13. Simon A Lee, Cyrus Tanade, Hao Zhou, Juhyeon Lee, Megha Thukral, Minji Han, Rachel Choi, Md Sazzad Hissain Khan, Baiying Lu, Migyeong Gwak, Mehrab Bin Morshed, Viswam Nathan, Md Mahbubur Rahman, Li Zhu, Subramaniam Venkatraman, Sharanya Arcot Desai (2026). HiMAE: Hierarchical Masked Autoencoders Discover Resolution-Specific Structure in Wearable Time Series The Fourteenth International Conference on Learning Representations [pdf]
  14. Simon A Lee, Cyrus Tanade, Hao Zhou, Juhyeon Lee, Megha Thukral, Minji Han, Rachel Choi, Md Sazzad, Hissain Khan, Baiying Lu, Sharanya Arcot Desai (2025). On-device Foundation Models for Wearable Signals NeurIPS 2025 Workshop on Learning from Time Series for Health [pdf]
  15. Emily Alsentzer, Marie-Laure Charpignon, Bill Chen, Niharika D'Souza, Jason Fries, Yixing Jiang, Aparajita Kashyap, Chanwoo Kim, Simon Lee, Aishwarya Mandyam, Ashery Mbilinyi, Nikita Mehandru, Nitish Nagesh, Brighton Nuwagira, Emma Pierson, Arvind Pillai, Akane Sano, Tanveer Syeda-Mahmood, Shashank Yadav, Elias Adhanom, Muhammad Umar Afza, Amelia Archer, Suhana Bedi, Vasiliki Bikia, Trenton Chang, George H. Chen, Winston Chen, Erica Chiang, Edward Choi, Octavia Ciora, Paz Dozie-Nnamah, Shaza Elsharief, Matthew Engelhard, Ali Eshragh, Jean Feng, Josh Fessel, Scott Fleming, Kei Sen Fong, Thomas Frost, Soham Gadgil, Judy Gichoya, Leeor Hershkovich, Sujeong Im, Bhavya Jain, Vincent Jeanselme, Furong Jia, Qixuan Jin, Yuxuan Jin, Daniel Kapash, Geetika Kapoor, Behdokht Kiafar, Matthias Kleiner, Stefan Kraft, Annika Kumar, Daeun Kyung, Zhongyuan Liang, Joanna Lin, Qianchu Liu, Chang Liu, Hongzhou Luan, Chris Lunt, Leopoldo Julían Lechuga López, Matthew B. A. McDermott, Shahriar Noroozizadeh, Connor O'Brien, YongKyung Oh, Mixail Ota, Stephen Pfohl, Meagan Pi, Tanmoy Sarkar Pias, Emma Rocheteau, Avishaan Sethi, Toru Shirakawa, Anita Silver, Neha Simha, Kamile Stankeviciute, Max Sunog, Peter Szolovits, Shengpu Tang, Jialu Tang, Aaron Tierney, John Valdovinos, Byron Wallace, Will Ke Wang, Peter Washington, Jeremy Weiss, Daniel Wolfe, Emily Wong, Hye Sun Yun, Xiaoman Zhang, Xiao Yu Cindy Zhang, Hayoung Jeong, Kaveri A. Thakoor (2025). Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025 The 6th Annual Conference on Health, Inference, and Learning (CHIL 2025) [pdf]
  16. Matthew BA McDermott, Justin Xu, Teya S Bergamaschi, Hyewon Jeong, Simon A Lee, Nassim Oufattole, Patrick Rockenschaub, Kamilė Stankevičiūtė, Ethan Steinberg, Jimeng Sun, Robin P van de Water, Michael Wornow, John Wu, Zhenbang Wu (2025). MEDS: Building Models and Tools in a Reproducible Health AI Ecosystem Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2 [pdf]
  17. Simon A Lee, Sujay Jain, Alex Chen, Kyoka Ono, Arabdha Biswas, Ákos Rudas, Jennifer Fang, Jeffrey N Chiang (2025). Clinical decision support using pseudo-notes from multiple streams of EHR data npj Digital Medicine 8 (1), 394 [pdf]
  18. Ulzee An, Moonseong Jeong, Simon Austin Lee, Aditya Gorla, Yuzhe Yang, Sriram Sankararaman (2025). Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1462-1482 [pdf]
  19. Yihan Lin, Zhirong Bella Yu, Simon Lee (2025). A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:105-129 [pdf]
  20. Simon A Lee, Anthony Wu, Jeffrey N Chiang (2025). Clinical modernbert: An efficient and long context encoder for biomedical text arXiv:2504.03964 [pdf]
  21. Ulzee An, Simon A. Lee, Moonseong Jeong, Aditya Gorla, Jeffrey N. Chiang, Sriram Sankararaman (2025). DK-BEHRT: Teaching Language Models International Classification of Disease (ICD) Codes using Known Disease Descriptions Proceedings of The First AAAI Bridge Program on AI for Medicine and Healthcare, PMLR 281:133-143 [pdf]
  22. Simon A. Lee, Helio Halperin, Yanai Halperin, Trevor Brokowski, Jeffrey N. Chiang (2025). Using Foundation Models to Prescribe Patients Proper Antibiotics Proceedings of The First AAAI Bridge Program on AI for Medicine and Healthcare, PMLR 281:121-132 [pdf]
  23. Simon A Lee, Kai Akamatsu (2025). Foundation Models for Physiological Signals: Opportunities and Challenges Preprint. [pdf]
  24. Simon A Lee, John Lee, Jeffrey N Chiang (2024). FEET: A Framework for Evaluating Embedding Techniques. Neural Information Processing Systems (NeurIPS) Workshop [pdf]
  25. Simon A Lee, Timothy Lindsey (2024). Can Large Language Models abstract Medical Coded Language? arXiv:2403.10822 [pdf]
  26. Aleksia Kolo, Chao Pang, Edward Choi, Ethan Steinberg, Hyewon Jeong, Jack Gallifant, Jason A Fries, Jeffrey N Chiang, Jungwoo Oh, Justin Xu, Kamile Stankeviciute, Kiril V Klein, Matthew BA McDermott, Mikkel Odgaard, Nassim Oufattole, Nigam H Shah, Patrick Rockenschaub, Pawel Renc, Robin P van de Water, Shalmali Joshi, Simon A Lee, Teya S Bergamaschi, Tom J Pollard, Vincent Jeanselme, Young Sang Choi, Michael Wornow, MIMIC-IV MEDS Dataset, Columbia MEDS Dataset, Apara Kashyap, Xinzhuo Jiang, Yanwei Li, Yuta Kobayashi, Ryan C King (2024). Meds decentralized, extensible validation (meds-dev) benchmark: Establishing reproducibility and comparability in ml for health ML4H 2024 Demo Track. [pdf]