Hi, I'm Zifeng. I am the cofounder and Chief AI Scientist at Keiji.AI. Before that, I did my Ph.D. in Computer Science at UIUC. I work toward scientific superintelligence: AI systems that can reason, experiment, and collaborate with experts across the scientific process. My current work builds environments, foundation models, and harnesses for agent evaluation and training across high-stakes clinical development tasks:

Virtual Environments — building realistic, interactive environments that model patient and trial dynamics, take agent interactions, and provide rewards for tasks such as biomedical data science, patient recruitment, and clinical document generation [npj Digit. Med. '26, Nat. Biomed. Eng. '26, KDD '23]
Foundation Models — scaling supervised domain data and developing SFT and RL algorithms to adapt LLMs to biomedical tasks such as literature search, clinical evidence synthesis, and trial design [Nat. Commun. '25, EMNLP '23, IJCAI '24]
Agent Harnesses — enabling reliable long-horizon task completion across domain tools, knowledge sources, and clinical environments, with transparent, verifiable, and regulation-aware workflows for expert oversight [Nat. Commun. '24, npj Digit. Med. '25, Nat. Mach. Intell. '26]
Current Focus

Building Keiji.AI, where we develop validated virtual environments for using, evaluating, and training AI agents on high-stakes clinical development tasks, including trial design, eligibility optimization, patient recruitment, evidence synthesis, clinical data management, and IND/NDA submission for pharmaceutical and biotech companies.

News

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Recent Talks

2026 Empowering Clinical Development with LLMs and AI Agents
DBMI @ Columbia · BIDS @ Yale · CSE @ CUHK · Tsinghua Medicine · Duke-NUS Medicine · CS @ Zhejiang · CS @ Tsinghua · SIGS @ Tsinghua · AI4S @ Peking · XtalPi
2025 Large language models for clinical trial design, execution, and analysis
AI for Health Webinar @ Sunlab, UIUC
2025 Medical scientific discovery in the era of large language models (Chinese)
HIT Webinar · Zuozhu's Lab @ Zhejiang University
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Selected Publications

TrialPanorama
Benchmarking and Developing Large Language Models Using One Million Clinical Trials (TrialPanorama)
Zifeng Wang, Jiacheng Lin, Qiao Jin, Junyi Gao, Jathurshan Pradeepkumar, Pengcheng Jiang, Zhiyong Lu, Jimeng Sun.
npj Digital Medicine, 2026
[Paper] [Project] [Dataset] [Models]
News Coverage: Nature Biotechnology, MIT Technology Review, HyperAI
DeepEvidence
Empowering Biomedical Evidence Exploration and Synthesis with Deep Knowledge Graph Research
Zifeng Wang, Zheng Chen, Ziwei Yang, Xiao Wang, Qiao Jin, Yifan Peng, Zhiyong Lu, Jimeng Sun.
Nature Machine Intelligence, 2026
[Paper] [Code] [Dataset]
Data science copilots
Making Large Language Models Reliable Data Science Programming Copilots for Biomedical Research
Zifeng Wang, Benjamin Danek, Ziwei Yang, Zheng Chen, Jimeng Sun.
Nature Biomedical Engineering, 2026
[Paper] [Code] [Dataset]
News Coverage: Live Science
LEADS
A foundation model for human-AI collaboration in medical literature mining (LEADS)
Zifeng Wang, Lang Cao, Qiao Jin, Joey Chan, Nicholas Wan, Behdad Afzali, Hyun-Jin Cho, Chang-In Choi, Mehdi Emamverdi, Manjot K. Gill, Sun-Hyung Kim, Yijia Li, Yi Liu, Yiming Luo, Hanley Ong, Justin Rousseau, Irfan Sheikh, Jenny J. Wei, Ziyang Xu, Christopher M. Zallek, Kyungsang Kim, Yifan Peng, Zhiyong Lu, Jimeng Sun.
Nature Communications, 2025
[Paper] [Code] [Model] [Dataset]
Clinical evidence synthesis
Accelerating Clinical Evidence Synthesis with Large Language Models
Zifeng Wang, Lang Cao, Benjamin Danek, Qiao Jin, Zhiyong Lu, Jimeng Sun.
npj Digital Medicine, 2025
[Paper] [Dataset]
TrialGPT
Matching Patients to Clinical Trials with Large Language Models (TrialGPT)
Qiao Jin, Zifeng Wang, Charalampos S. Floudas, Fangyuan Chen, Changlin Gong, Dara Bracken-Clarke, Elisabetta Xue, Yifan Yang, Jimeng Sun, Zhiyong Lu.
Nature Communications, 2024
[Paper] [Code] [Dataset]
News Coverage: Nature, NIH News, NIH Director's Blog, Health Science Top 25 of 2024, POLITICO, AUA News, Azure Government, Informa, FedScoop, MSN

Media Coverage