Zifeng Wang 王子丰
Cofounder & Head of AI
Keji.AI Inc.
Email: zifengwang [dot] ai [at] gmail [dot] com
Hi, this is Zifeng. I am the co-founder and head of AI at Keji.AI. Before that, I did my PhD in Computer Science at UIUC , advised by Prof. Jimeng Sun. I develop AI to accelerate scientific discovery in medicine, specifically:
- Literature research: accelerating the study search, screening, and data extraction from the literature to generate novel hypotheses and clinical evidence[Nat. Commun.'25, npj Digit. Med.'25]
- Clinical research: developing AI models and workflows to enhance the design, execution, and analysis of clinical trials[Nat. Commun.'24, EMNLP'23, EMNLP'22]
Our research was featured by: Nature, NIH News, NIH Director's Blog, POLITICO, AUA News, Azure Government, Editors' Highlights at Nat. Commun.
Keji.AI is a startup focusing on accelerating and improving clinical research through the power of artificial intelligence. We build foundational models and AI agents that empower researchers, pharmaceutical companies, and healthcare providers to design better trials, synthesize evidence faster, and ultimately bring life-saving therapies to patients sooner.
Recent Talks
AI for health webinar
@ Sunlab, UIUC
Invited Talk
@ MedAI, Stanford University
Invited Talk (Chinese)
@ HIT Webinar
Large Language Models for Clinical Trial Search, Recruitment, and Design
Medical scientific discovery in the era of large language models
Medical scientific discovery in the era of large language models
Large language models for clinical trial design, execution, and analysis
Large language models for clinical trial participant recruitment
News
- May 2025Joined Keji.AI as the co-founder and head of AI!
- May 2025Our paper TrialPanorama and BioDSA-1K have been released!
- Mar 2025Defended my PhD dissertation: Deep learning methods for clinical trial design, execution, and analysis!
- Mar 2025Our paper TrialGPT is featured as Health Science Top 25 of 2024 by Nature Communications!
- Nov 2024Our paper TrialGPT for patient-trial matching has been accepted by Nature Communications! Featured as Editors' Highlights.
- Nov 2024Our perspective paper on adapting generalist AI to medicine has been released!
- Nov 2024Our paper on LLMs for clinical data science code generation has been released!
- June 2024Two our research papers on clinical trial foundation model and LLM pipeline for clinical evidence synthesis have been released!
- Mar 2024Our research on AI for clinical trials is reported by Nature: How AI is being used to accelerate clinical trials.
- Feb 2024Our research in patient-trial matching is reported by AUANews: Connecting Patients to Clinical Trials With Artificial Intelligence.