Geoffrey Martin

I'm a Ph.D. student at Cornell University, where I work with Yifan Peng in the Peng Lab on language models in medical and healthcare applications, supported by an NSF Graduate Research Fellowship. My work runs from clinical prediction and decision support — language-model agents that read patient notes, follow treatment guidelines, and help with the decisions that come next — to the natural language processing methods that make them work.

email/Google Scholar/LinkedIn

Geoffrey Martin

Publications

Comparing LLM and Fine-Tuned Model Performance on NVDRS Circumstance Extraction with Varying Prompt Complexity G. Martin, X. Feng, Y. Peng IEEE International Conference on Healthcare Informatics (ICHI), 2026 (to appear)
Budget-Aware Routing for Long Clinical Text K. Qureshi, G. Martin, Y. Peng Findings of the Association for Computational Linguistics (ACL), 2026
A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends Y. Ding, S. Luo, Y. Dai, Y. Jiang, Z. Li, Q. Sun, G. Martin, W. Liu, Y. Peng Findings of the Association for Computational Linguistics (ACL), 2026
CPGPrompt: Translating Clinical Guidelines into Large Language Model-Executable Decision Support R. Deng*, G. Martin*, T. Wang, G. Zhang, Y. Liu, C. Weng, Y. Wang, J. Rousseau, Y. Peng Journal of the American Medical Informatics Association (JAMIA), 2026
Reducing the Prevalence of Alcohol-Exposed Pregnancies in the United States: A Simulation Modeling Study R. Yaesoubi, M. Mahin, G. Martin, A. D. Paltiel, M. Sharifi Medical Decision Making, 42(2), 2022

* equal contribution

Fellowships

National Science Foundation Graduate Research Fellowship — 2022
Caltech Summer Undergraduate Research Fellowship — 2018

Before Cornell

Earlier stops include building vision models for robotics at NASA's Jet Propulsion Laboratory, growing up in Singapore, and a few years as a data scientist at Locus Analytics, a systems economics think tank, before grad school. Just before Cornell I studied operations research and statistics at Yale, after completing my undergraduate degree at Yale-NUS College.

Related Academic Interests

Systems thinking, causal inference, public policy, and election science.