Sihang Zeng
About Me
I am a PhD candidate at the Department of Biomedical Informatics and Medical Education, University of Washington, advised by Ruth Etzioni and Meliha Yetisgen. My research focuses on developing AI/ML methods for longitudinal electronic health records to improve clinical decision-making.
Research Interests: LLM for EHR · Patient Trajectory Modeling · AI for Healthcare
News
Dec 2025 Passed PhD general exam!
Nov 2025 Paper on Whole Health accepted by J Gen Intern Med
Oct 2025 1st Place at ChemoTimelines 2025 Challenge (Oral at Clinical NLP)
Oct 2025 "Traj-CoA" accepted by NeurIPS 2025 GenAI4Health
Oct 2025 Joined Truveta as ML Intern
Aug 2025 "ReviewRL" accepted by EMNLP 2025
Jul 2025 "TrajSurv" accepted by MLHC 2025
Sep 2024 "UltraMedical" accepted by NeurIPS 2024 D&B (Spotlight)
Jul 2024 "LLMs as Biomedical Hypothesis Generators" accepted by COLM 2024
Sep 2023 Started PhD at University of Washington
Publications
Traj-CoA: Patient Trajectory Modeling via Chain-of-Agents for Lung Cancer Risk Prediction
NeurIPS 2025 GenAI4Health
TrajSurv: Learning Continuous Latent Trajectories from EHR for Trustworthy Survival Prediction
MLHC 2025
UltraMedical: Building Specialized Generalists in Biomedicine
NeurIPS 2024 D&B (Spotlight)
Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations
ACL 2022 BioNLP Workshop
Education
Ph.D. in Biomedical Informatics · University of Washington · 2023 – 2026 (expected)
Committee: Ruth Etzioni, Meliha Yetisgen, Hoifung Poon, Matthew Thompson, Noemi Kreif
B.Eng. in Electronic Engineering · Tsinghua University · 2019 – 2023
Advisors: Bowen Zhou, Sheng Yu · Minor: Statistics
Contact
- Email: zengsihang0226@outlook.com
- Google Scholar · GitHub · LinkedIn · ORCID