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 build 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
- Jul 2026 Tutorial: guidance on the use of large language models for medical research accepted in Nature Protocols!
- Jun 2026 Three papers accepted: TrialPanorama (npj Digital Medicine), Deep Knowledge Graph Research for biomedical evidence synthesis (Nature Machine Intelligence), and reliable data science copilots (Nature Biomedical Engineering)!
- Apr 2026 Serving as Area Chair for COLM 2026.
- Mar 2026 Gave invited talks on "Empowering Clinical Development with LLMs and AI Agents" at Columbia, Yale, CUHK, Tsinghua Medicine, Duke-NUS, and more.
- Aug 2025 LEADS (foundation model for medical literature mining) published in Nature Communications!
- Jul 2025 InformGen published in JAMIA; clinical evidence synthesis and the generalist-to-medical AI perspective published in npj Digital Medicine.
- Sep 2025 Our work covered by MIT Technology Review and Nature Biotechnology.
- May 2025 Joined Keiji.AI as cofounder and Chief AI Scientist!
- Mar 2025 Defended my Ph.D. dissertation: Deep learning methods for clinical trial design, execution, and analysis!
- Mar 2025 TrialGPT featured as Health Science Top 25 of 2024 by Nature Communications!
- Nov 2024 TrialGPT for patient-trial matching accepted by Nature Communications! Featured as Editors' Highlights.
- Nov 2024 Perspective paper on adapting generalist AI to medicine released!
- Nov 2024 Paper on LLMs for clinical data science code generation released!
- Jun 2024 Two papers released: clinical trial foundation model and LLM pipeline for clinical evidence synthesis.
- Mar 2024 Our research on AI for clinical trials reported by Nature: How AI is being used to accelerate clinical trials.
- Feb 2024 Patient-trial matching research reported by AUA News.
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)
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2026 Biomedical Literature Evidence Exploration and Synthesis in the Era of AI Agents
- Panel Speaker on AI in Clinical Development @ Joint Statistical Meetings (JSM) 2026
- Text Mining Panel @ ISMB 2026
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2025 Empowering Biomedicine with LLMs and AI Agents
- CS @ Nanjing University
- AI @ SJTU
- Shanghai AI Lab
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2025 LLMs for hypothesis generation and validation in clinical trials
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2025 LLMs for clinical trial participant recruitment
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2024 Bridging Biomedical Foundation Models
- Xuegong Lab @ Tsinghua University
- AI4Science @ ByteDance
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2023 Medical Vision-Language Modeling
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Oct 2023 Automate clinical trial design with large language models
- Medidata
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Jul 2023 Unifying Large Language Models and Knowledge Graphs
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- AI Time
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- AI Time
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Mar 2022 PAC-Bayes Information Bottleneck
Selected Publications
Benchmarking and Developing Large Language Models Using One Million Clinical Trials (TrialPanorama)
npj Digital Medicine, 2026
Making Large Language Models Reliable Data Science Programming Copilots for Biomedical Research
Nature Biomedical Engineering, 2026
News Coverage:
Live Science
Matching Patients to Clinical Trials with Large Language Models (TrialGPT)
Nature Communications, 2024
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
- 2026 JAMIA (Editorial): Improved evaluation frameworks are required to move application of LLMs from research into clinical practice
- 2026 Live Science: AI-written code can beat humans at biomedical analysis, some studies find
- 2025 MIT Technology Review: A clinical trial database of 1.65 million records for vertical AI agents
- 2025 Nature Biotechnology: Clinical trials gain intelligence
- 2024 Nature: How AI is being used to accelerate clinical trials
- 2024 NIH Director's Blog: ChatGPT-like AI tool promises to speed treatment advances by matching patients with clinical trials
- 2024 POLITICO: Using AI to match patients to clinical trials
- 2024 NIH News: NIH-developed AI algorithm matches potential volunteers to clinical trials





