Zifeng Wang

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]
  • Data science research: streamlining the data science hypothesis generation and validation based on medical and biomedical data via the collaboration of researchers and AI assistants[Arxiv'24, Arxiv'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

Mar 2025

Invited Talk

@ MedAI, Stanford University

July 2023

Invited Talk (Chinese)

@ HIT Webinar

Mar 2025

Aug 2025

Large Language Models for Clinical Trial Search, Recruitment, and Design

Invited Program@Takeda in Joint Statistical Meetings

To appear

Mar 2025

Medical scientific discovery in the era of large language models

HIT Webinar

Mar 2025

Medical scientific discovery in the era of large language models

Zuozhu's Lab@Zhejiang University

Mar 2025

Large language models for clinical trial design, execution, and analysis

AI for Health Webinar

Jan 2025

Large language models for clinical trial participant recruitment

IT Roundtable of Clinical Research Forum

News