Zifeng Wang is the co-founder and head of AI at Keiji.AI. Before that, he did his PhD in Computer Science at the University of Illinois Urbana-Champaign (UIUC), advised by Professor Jimeng Sun. He is dedicated to leveraging artificial intelligence (AI) to accelerate scientific discovery in medicine. His research focuses on AI-driven literature research, data science research, and clinical research, with an emphasis on improving literature search, screening, and data extraction, automating the analysis and modeling of clinical trials and real-world data, and optimizing clinical trial design, recruitment, and outcome analysis.

His work has been featured in Nature, the National Institutes of Health (NIH), the NIH Director's Blog, POLITICO, and other media outlets. Before joining UIUC, he earned his bachelor's and master's degrees from Tongji University and Tsinghua University, respectively.

Education

Ph.D. in Computer Science

University of Illinois at Urbana-Champaign

2021 - 2025

Advisor: Prof. Jimeng Sun

Dissertation: Deep Learning Methods for Clinical Trial Design, Execution, and Analysis

Focus on AI for healthcare, clinical trials, and biomedical research.

M.S. in Data Science

Tsinghua University

2018 - 2021

Specialized in machine learning and artificial intelligence with focus on healthcare applications.

B.S. in Engineering

Tongji University

2014 - 2018

Professional Experience

Co-founder & Head of AI

Keiji.AI

May 2025 - Present

Leading AI development for clinical trial optimization and pharmaceutical applications.

Research Intern

AWS, Amazon

May - Aug 2023

Topic: AI for Drug Discovery

Mentor: Zichen Wang

Feb - May 2023

Topic: Synthetic Data Generation for Clinical Trials

Mentor: Mandis Beigi

Research Intern

Amplitude

May - Aug 2022

Topic: Multi-treatment Causal Inference

Mentor: Cao Xiao

Research Intern

Jarvis Lab, Tencent

Dec 2019 - Jun 2021

Topics: Graph DL for Clinical Diagnosis; Lifelong Learning Diagnostic AI; Information-theoretic DL

Mentor: Yefeng Zheng

Service

PC Member/Reviewer for Conferences

ICML'[25], NeurIPS'[22,23,24], EMNLP'[22,23], IJCAI'[22,23,24], AAAI'[22,24,25], NAACL'24, COLM'[24,25], ICLR'24, ACL'23, KDD'23, NLPCC'24, ICIP'21, RECOMB'25, ICASSP'21.

Reviewer for Journals

Nature Communications, TPAMI, JAIR, JAMIA, TMLR, TMI, Bioinformatics, ACM Computing Surveys.

Teaching Experience

CS598 Deep Learning for Healthcare

Spring 2022

Teaching Assistant at UIUC, given by Prof. Jimeng Sun.

Optimization Models and Applications

Summer 2020

Teaching Assistant, given by Prof. Laurent El Ghaoui.

Bayesian Learning and Data Analysis

Spring 2020

Teaching Assistant, given by Prof. Ercan E. Kuruoglu.

Learning from Data

Summer 2019

Teaching Assistant, given by Prof. Yang Li.

Awards and Honors

Research featured by NIH

"AI algorithm matches potential volunteers to clinical trials"

2024

Yee Memorial Fellowship

University of Illinois Urbana-Champaign

2023

NeurIPS Scholar Award

Neural Information Processing Systems Conference

2022

Yunni & Maxine Pao Memorial Fellowship

University of Illinois Urbana-Champaign

2022

Best Student Paper Award

Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)

2021