I develop AI models for health and well-being applications at Meta. Before joining Meta, I received my Ph.D. in Computer Science from the University of Illinois Urbana-Champaign, where I was fortunate to be advised by Prof. Jimeng Sun. Prior to that, I received dual bachelor’s degrees from Zhejiang University and the University of Illinois Urbana-Champaign.
[Research] My research focuses on foundation models—including large language models and multimodal models—for interpreting complex, heterogeneous, and longitudinal health data.
[Application] I co-lead the development of PyHealth, an open-source toolkit for predictive modeling with patient data. It has received over 1.6K stars on GitHub.
Selected Publications
See the full list on Google Scholar.
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PyHealth 2.0: A Comprehensive Open-Source Toolkit for Accessible and Reproducible Clinical Deep Learning
ICML 2026 John Wu, Yongda Fan, Zhenbang Wu, Paul Landes, Eric Schrock, Sayeed Sajjad Razin, Arjun Chatterjee, Naveen Baskaran, Joshua Steier, Andrea Fitzpatrick, Bilal Arif, Rian Atri, Jathurshan Pradeepkumar, Siddhartha Laghuvarapu, Junyi Gao, Adam R. Cross, Jimeng Sun [paper] -
Reinforcement Learning for Out-of-Distribution Reasoning in LLMs: An Empirical Study on Diagnosis-Related Group Coding
NeurIPS 2025 (Spotlight) Hanyin Wang, Zhenbang Wu, Gururaj Kolar, Hariprasad Korsapati, Brian Bartlett, Bryan Hull, Jimeng Sun [paper] -
Instruction Tuning Large Language Models to Understand Electronic Health Records
NeurIPS 2024 Datasets and Benchmarks Track (Spotlight) Zhenbang Wu, Anant Dadu, Mike Nalls, Faraz Faghri†, Jimeng Sun†[paper] -
Multimodal Patient Representation Learning with Missing Modalities and Labels
ICLR 2024 Zhenbang Wu, Anant Dadu, Nicholas Tustison, Brian Avants, Mike Nalls, Jimeng Sun, Faraz Faghri [paper] -
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text
EMNLP 2022 Zifeng Wang, Zhenbang Wu, Dinesh Agarwal, Jimeng Sun [paper]
Open-Source Software
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PyHealth: A Deep Learning Toolkit for Healthcare Applications
[GitHub]
Professional Experience
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Meta, Burlingame, CA, USA
Software Engineer, Machine Learning
Foundation model for biosignals
Jun 2025 - Present
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Meta, Burlingame, CA, USA
Research Scientist Intern, with Dr. Sujeeth Bharadwaj & Dr. Pei Yin
Foundation model for biosignals
May 2024 - Aug 2024
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National Institutes of Health & Data Tecnica International, Bethesda, MD, USA
Machine Learning Research Intern, with Dr. Faraz Faghri & Dr. Mike Nalls
Multimodal learning
May 2023 - May 2024
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IQVIA, Analytics Center of Excellence, Remote, USA
Machine Learning Research Intern, with Dr. Lucas M Glass
Patient record linkage
May 2022 - Aug 2022