Jin Mu

I am a third year PhD student at the University of Wisconsin–Madison, advised by Prof. Guanhua Chen. My research develops reliable AI systems and agents that reason over scientific data to support evidence-based discovery and decision-making.

Portrait of Jin Mu

Education

Master of Computer Science

University of Wisconsin–Madison · 2026

Selected Work

* Equal contribution.

  1. Making Clinical Language Models Auditable: Concept-Guided Fine-Tuning for Robust Prediction

    Jin Mu and Guanhua Chen.

    EMNLP 2026 Preprint

  2. Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing

    Jiacheng Miao*, Jin Mu*, Guanhua Chen, and James Zou.

    Under review · NeurIPS 2026 Preprint

  3. Polygenic Prediction of Treatment Efficacy with Causal Transfer Learning

    Jiacheng Miao*, Jin Mu*, Xiaoyu Yang, Jason Fletcher, Lauren Schmitz, and Qiongshi Lu.

    In revision · Nature Genetics, 2026 Preprint

  4. Compositional Variable Selection in Quantile Regression for Microbiome Data with False Discovery Rate Control

    Runze Li*, Jin Mu*, Songshan Yang*, Cong Ye*, and Xiang Zhan*.

    Statistical Analysis and Data Mining, 2024 Paper