Sihang Zeng’s Personal Webpage
🎯 Open to Opportunities
I’m actively seeking Research Scientist, Machine Learning Engineer, and Applied Scientist positions starting Summer 2026. My expertise spans LLM for EHR, patient trajectory modeling, and AI for healthcare.
About Me
I am a PhD candidate at the Department of Biomedical Informatics and Medical Education, University of Washington. My research focuses on developing AI/ML methods for longitudinal electronic health records to improve clinical decision-making and patient outcomes.
Beyond research: Skiing ⛷️ · Hiking 🥾 · Traveling ✈️ · Photography 📷
Education
🎓 Ph.D. in Biomedical Informatics
University of Washington · 2023 – 2026 (expected)
- Committee Chairs: Ruth Etzioni (Professor), Meliha Yetisgen (Professor)
- Committee Members: Hoifung Poon, Matthew Thompson, Noemi Kreif
🎓 B.Eng. in Electronic Engineering
Tsinghua University, China · 2019 – 2023 · Minor: Statistics
- Advisors: Bowen Zhou (Chair Professor), Sheng Yu (Associate Professor)
🌍 Exchange Program
KTH Royal Institute of Technology, Sweden · 2022
Recent News
| Date | Update |
|---|---|
| Dec 2025 | 🎉 Passed my PhD general exam! Thanks to my committee members for their support and guidance. |
| Nov 2025 | 📄 Paper on Whole Health & Tobacco Cessation accepted by J Gen Intern Med |
| Oct 2025 | 🏆 1st Place at ChemoTimelines 2025 Challenge! Oral at Clinical NLP workshop. paper |
| Oct 2025 | 📄 "Traj-CoA" accepted by NeurIPS 2025 GenAI4Health workshop. paper |
| Oct 2025 | 💼 Joined Truveta as ML Intern – patient journey modeling with multi-agent systems |
| Sep 2025 | 📄 Survey on RL for Large Reasoning Models on arXiv. paper |
| Aug 2025 | 📄 "ReviewRL" accepted by EMNLP 2025 main conference. paper |
| Jul 2025 | 📄 "TrajSurv" accepted by MLHC 2025. paper |
| Jun 2025 | 💼 Joined Futurewei as Research Intern – agentic memory systems |
| May 2025 | 🛠️ Released "MARTI" framework on GitHub. code |
| Mar 2025 | 📊 Abstract accepted by AcademyHealth ARM (poster). abstract |
| Dec 2024 | 🏅 Travel Award & Oral at ICIMH 2025 |
| Nov 2024 | 🔬 Started collaboration with Prof. Meliha Yetisgen on biomedical LLMs |
| Sep 2024 | 📄 "UltraMedical" accepted by NeurIPS 2024 D&B (Spotlight). paper |
| Jul 2024 | 📄 "LLMs as Biomedical Hypothesis Generators" accepted by COLM 2024. paper |
| May 2024 | 📄 "CoRTEx" published in JAMIA. paper |
| May 2024 | 🔬 Joined Fred Hutch Cancer Center – prostate cancer prediction with EHR |
| Jan 2024 | 🏥 Joined VA Puget Sound as WOC Research Assistant |
| Oct 2023 | 📄 Paper accepted by Instruction Workshop @ NeurIPS 2023. paper |
| Sep 2023 | 🎓 Started PhD at University of Washington |
| Jul 2023 | 📄 Paper accepted by CIBB 2023 (oral). paper |
| Jun 2023 | 🎓 Graduated from Tsinghua University! |
| May 2022 | 📄 Paper accepted by ACL 2022 BioNLP Workshop. paper |
| Mar 2022 | 📄 "BIOS" knowledge graph on arXiv. paper |
Awards & Honors
ICIMH 2025
University of Washington, 2023
Tsinghua University, 2022
Tsinghua University, 2020 & 2021
Selected Publications
1 indicates equal or core contribution · Full list on Google Scholar
📚 All Selected Publications (click to expand)
Traj-CoA: Patient Trajectory Modeling via Chain-of-Agents for Lung Cancer Risk Prediction
Sihang Zeng, Yujuan Fu, Sitong Zhou, Zixuan Yu, Lucas Jing Liu, Jun Wen, Matthew Thompson, Ruth Etzioni, Meliha Yetisgen
NeurIPS 2025 GenAI4Health · paper
TrajSurv: Learning Continuous Latent Trajectories from Electronic Health Records for Trustworthy Survival Prediction
Sihang Zeng, Lucas Jing Liu, Jun Wen, Meliha Yetisgen, Ruth Etzioni, Gang Luo
MLHC 2025 · paper
A Survey of Reinforcement Learning for Large Reasoning Models
Kaiyan Zhang1, ..., Sihang Zeng1, ... (25+ authors)
arXiv 2025 · paper
ReviewRL: Towards Automated Scientific Review with RL
Sihang Zeng1, Kai Tian1, Kaiyan Zhang1, et al.
EMNLP 2025 · paper
MARTI: A Framework for Multi-Agent LLM Systems Reinforced Training and Inference
Kaiyan Zhang1, Runze Liu1, ..., Sihang Zeng1, ... et al.
GitHub 2025 · code
Population-Level Tobacco Cessation Outcomes Associated with Implementing Whole Health at the Veterans Health Administration
Sihang Zeng, Scott Coggeshall, Ethan Rosser, Stephanie L. Taylor, Diana Burgess, Gang Luo, Steven Zeliadt
AcademyHealth ARM 2025 · abstract
UltraMedical: Building Specialized Generalists in Biomedicine
Kaiyan Zhang, Sihang Zeng, Ermo Hua, et al.
NeurIPS 2024 D&B (Spotlight) · paper · code · 🤗
Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations
Sihang Zeng1, Zheng Yuan1, Sheng Yu