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
Jan 2026 Paper: MARTI accepted at ICLR 2026.
Dec 2025 Passed PhD general exam.
Nov 2025 Paper: The Role of Whole Health in Enhancing Tobacco Cessation Outcomes for Veterans accepted by J Gen Intern Med.
Oct 2025 Won 1st Place at the ChemoTimelines 2025 Challenge (oral presentation at Clinical NLP).
Oct 2025 Paper: Traj-CoA accepted at NeurIPS 2025 GenAI4Health.
Oct 2025 Joined Truveta as ML Intern.
Aug 2025 Paper: ReviewRL accepted at EMNLP 2025.
Jul 2025 Paper: TrajSurv accepted at MLHC 2025.
Sep 2024 Paper: UltraMedical accepted at NeurIPS 2024 D&B (Spotlight).
Jul 2024 Paper: Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation accepted at COLM 2024.
Sep 2023 Started PhD at the University of Washington.
Selected 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