Haining Wang, PhD
Postdoctoral Fellow in Biostatistics & Health Data Science
- Phone
- (317) 274-2661
- Address
-
HS 3077
BSAT
Indianapolis, IN
Bio
Haining Wang, Ph.D., is a Postdoctoral Fellow in the Department of Biostatistics and Health Data Science at the Indiana University School of Medicine. His research focuses on natural language processing (NLP), biomedical informatics, and computational humanities/social sciences. He develops machine learning and large language model (LLM) approaches to advance biomedical phenotyping, clinical decision support, and the accessibility of science. Visit hainingwang.org for more.
Key Publications
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Wang, H., Clark, J., McKelvey, H., Sterman, L., Gao, Z., Tian, Z., Kübler, S., & Liu, X. (2025). Science out of its ivory tower: Improving accessibility with reinforcement learning. Scientometrics.
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Xie, X., Li, J., & Wang, H. (2025). The many voices of Duying: Revisiting the disputed essays between Lu Xun and Zhou Zuoren. Digital Scholarship in the Humanities, 40(1), 338–353.
| Year | Degree | Institution |
|---|---|---|
| 2025 | PhD | Indiana University |
| 2016 | MA | Wuhan University |
| 2013 | BS | PLA Air Defense Academy |
| 2012 | BS | Shanxi University |
- NLP
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Data-driven approaches to chronic disease phenotyping (e.g., Type 2 diabetes)
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Immune-related adverse event detection (e.g., acute kidney injury)
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Application of LLMs for clinical knowledge extraction