Xindi Lin

Research

My research focuses on developing methods for environmental public health problems with spatial data. In collaboration with the Wisconsin Department of Natural Resources, Professor Christopher Zahasky from the Department of Geosciences at UW-Madison, and Professor Chan Park from the Department of Statistics at UIUC, my research follows a progression from (i) descriptive analysis of complex, real-world spatial datasets to (ii) prediction and inference with theoretical guarantee, and computationally efficient algorithms, and to (iii) causal decision-making.


A serene landscape with mountains and a lake at sunset.

Papers

  1. Optimal Policy Learning Under Spatial Confounding With Applications to Groundwater in Wisconsin.
    Lin, X., Park, C., Zahasky, C., Kang, H. 2024. In Preparation.
    [30-min Slides at BALST Seminar]
  2. Three-Dimensional Map of Nitrate Concentration in Groundwater in Wisconsin With Spatially Adjusted Machine Learning.
    Lin, X., Zahasky, C., Kang, H. 2025. In Preparation.
    [Poster at AWRA 2025]
  3. Semiparametric Spatial Point Processes
    Lin, X., Park, B., Zahasky, C., Kang, H. 2024. Under review.
    [arXiv] [Code]
  4. Development and validation of a blood routine-based extent and severity clinical decision support tool for ulcerative colitis
    Chen, H., Lin, X., Pan, X., Xu, H., Zhang, X., Liang, G., Qiu, J., Zhang, X., Gao, Y., Tan, X. and Li, N. 2023.
    [Scientific Reports]

Presentations

  1. Semiparametric Spatial Point Processes
    • Midwest Machine Learning Symposium (MMLS), Chicago, Illinois, July 23, 2025.
    • New England Statistics Symposium (NESS), New Haven, Connecticut, June 2, 2025.
    • Online Seminar on Spatial and Spatio-temporal Point Processes and Beyond (OSSP), March 19, 2025.
    • Joint Statistical Meetings (JSM), Portland, Oregon, Aug 4, 2024.
    • American Causal Inference Conference (ACIC), Seattle, Washington, May 15, 2024.
  2. Three-Dimensional Map of Nitrate Concentration in Groundwate in Wisconsin With Spatially Adjusted Random Forests
    • Wisconsin Section of the American Water Resources Association (AWRA) , Dells, Wisconsin, April 10, 2025. [Poster]
  3. Optimal Policy Learning Under Spatial Dependence With Applications to Groundwater in Wisconsin
    • Joint Statistical Meetings (JSM), Nashvile, Tennessee, August 5, 2025.
    • American Causal Inference Conference (ACIC), Detroit, Michigan, May 16, 2025. [Poster]