Hanyin Wang
Internal Medicine Physician · Computer Science PhD Student at UIUC
I am an Internal Medicine Physician at Mayo Clinic Health System and a Computer Science PhD student at the University of Illinois Urbana-Champaign. I am fortunate to be advised by Prof. Jimeng Sun. Before this, I received my MD degree and completed my residency training in Internal Medicine.
I am passionate about developing large language models for healthcare applications, with a focus on addressing real-world clinical challenges that have measurable impact. My particular interests include clinical note generation and reinforcement learning. Additionally, I am actively exploring startup opportunities to translate these research advancements into practical healthcare solutions.
Selected Publications & Preprints (Google Scholar)
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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] -
Process-Supervised Reward Models for Clinical Note Generation: A Scalable Approach Guided by Domain Expertise
EMNLP 2025 Main Conference
Hanyin Wang, Qiping Xu, Bolun Liu, Guleid Hussein, Hariprasad Korsapati, Mohamad El Labban, Kingsley Iheasirim, Mohamed Hassan, Gokhan Anil, Brian Bartlett, et al.
[paper] -
A perspective for adapting generalist ai to specialized medical ai applications and their challenges
npj Digital Medicine 2025
Zifeng Wang, Hanyin Wang, Benjamin Danek, Ying Li, Christina Mack, Hoifung Poon, Yajun Wang, Pranav Rajpurkar, Jimeng Sun
[paper] -
Towards Adapting Open-Source Large Language Models for Expert-Level Clinical Note Generation
ACL 2025 Findings
Hanyin Wang, Chufan Gao, Bolun Liu, Qiping Xu, Guleid Hussein, Mohamad El Labban, Kingsley Iheasirim, Hariprasad Korsapati, Jimeng Sun
[paper] -
DRG-LLaMA: tuning LLaMA model to predict diagnosis-related group for hospitalized patients
npj Digital Medicine 2024
Hanyin Wang, Chufan Gao, Christopher Dantona, Bryan Hull, Jimeng Sun
[paper] -
A Reflection and Outlook on Clinical Adaption of Large Language Models
AAAI 2024 Spring Symposium on Clinical Foundation Models
Hanyin Wang, Chufan Gao, Jimeng Sun
[paper] -
Clonal dynamics of Richter transformation in chronic lymphocytic leukemia
Hematological oncology 2024
Hanyin Wang, Shulan Tian, Charla R Secreto, Sutapa Sinha, Min Shi, Timothy Call, Yucai Wang, Sameer A Parikh, Saad S Kenderian, Rong He, et al.
[paper] -
Differential transcriptomic profiling in ibrutinib-naïve versus ibrutinib-resistant Richter syndrome
Hematological Oncology 2022
Hanyin Wang, Shulan Tian, Qing Zhao, Wendy Blumenschein, Jennifer H Yearley, Charla R Secreto, Sutapa Sinha, Timothy G Call, Yucai Wang, Sameer A Parikh, et al.
[paper] -
Unexpected BP sensitivity to angiotensin II in a patient with coronavirus disease 2019, ARDS, and septic shock
Chest 2020
Hanyin Wang, Subhraleena Das, Patrick M Wieruszewski, Jamil Taji, Brian Bartlett, Nabila Azad, Arnab Chowdhury, Gururaj J Kolar, Nitesh Jain, Mir R Subla, et al.
[paper]
Clinical Experience
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Mayo Clinic Health System, Mankato, MN, USA
Co-Director - AI Validation and Stewardship Program (2024 - Present)
Associate Chief Medical Information Officer (2023 - Present)
Chair - Department of Hospital Internal Medicine (2021 - 2024)
Hospitalist Physician (2018 - Present) -
Tufts Medical Center, Boston, MA, USA
Resident Physician, Internal Medicine
2015 - 2018