Chunlin Li

Chunlin Li is an Assistant Professor at Iowa State University, specializing in Causal Inference, Machine Learning, and Statistical Genomics & Genetics. Their research bridges statistical theory with practical applications in biomedical and agricultural domains.

• Education: Ph.D. in Statistics (University of Minnesota, 2022), B.S. in Computing Mathematics (City University of Hong Kong, 2017)

Research interests focus on developing advanced statistical methods for high-dimensional data, including causal effect estimation in clinical trials, mediation analysis for omics studies, and network modeling from genetic data. Their work addresses challenges in nonlinear causal discovery, hidden confounding, and efficient computational frameworks.

Recent publications demonstrate expertise in causal inference for agricultural outbreaks, multi-omics integration via TWAS, and methodological innovations in DAG estimation and regularization techniques (e.g., truncated lasso penalty). Key themes include clinical trial optimization, genetic risk prediction, and interpretable machine learning.