Kevin(Jian) Lu

Master's Student · Duke University

I am a Master's student in Computer Science at Duke University, where I am fortunate to be advised by Professor Anru Zhang. My research interests lie in AI for Health and AI for Science.

My current work applies LLMs and agents to clinical data, including detecting documentation inconsistencies in electronic health records and answering natural-language questions over medical databases. I am also exploring generative modeling for proteins, with an interest in how computational methods can help address questions in biology and medicine.

More broadly, I enjoy learning from advances in AI, including large language models and diffusion models, and exploring how their underlying ideas can be adapted to meaningful problems in healthcare and the life sciences.

Previously, I obtained my B.S. in Computer Science from the University of Rochester, where I worked with Professor Jiebo Luo on computer vision methods for biomedical image analysis, and with Professor Christopher Kanan on evaluating multimodal large language models.

News

Selected Publications

Documentation inconsistency detection pipeline
2026 Journal of the American Medical Informatics Association (JAMIA)
Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records
Jian Lu, Panyu Chen, Miriam Treggiari, Robert Blessing, Danyang Zhuo, Chunhua Weng, William W. Stead, Anru R. Zhang
ReAct-SQL Think-Observe-Act loop with a deterministic DSL engine
Preprint arXiv, 2026
Iteration Without Elaboration: A Simple ReAct Architecture Suffices for Text-to-SQL Generation
Jian Lu, Haiwei Yu, Raymond M. Xiong, Anru R. Zhang, Danyang Zhuo
CELEC system design overview
2026 IEEE International Conference on Healthcare Informatics (ICHI)
Reliable Curation of EHR Dataset via Large Language Models under Environmental Constraints
Raymond M. Xiong, Panyu Chen, Tianze Dong, Jian Lu, Louis Hu, Nathan Yu, Benjamin Goldstein, Danyang Zhuo, Anru R. Zhang
Recall and precision curves by number of ground-truth boxes
2025 CVPR 2025 Workshop (BEAM)
Revisiting Multi-Modal LLM Evaluation
Jian Lu, Shikhar Srivastava, Junyu Chen, Robik Shrestha, Manoj Acharya, Kushal Kafle, Christopher Kanan

Education

2025 — Present
M.S. in Computer Science
Duke University, Durham, NC
Advisor: Prof. Anru Zhang. Research on AI for health and AI for science: LLMs and agents for clinical data, and generative modeling for proteins.
2021 — 2025
B.S. in Computer Science
University of Rochester, Rochester, NY
Worked with Prof. Jiebo Luo (2023 — 2025) on computer vision methods for biomedical image analysis, and with Prof. Christopher Kanan (2024 — 2025) on evaluating multimodal large language models.

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