Tianying Wang Assistant Professor


Phone: (000) 000-0000

Website: https://tianyingw.github.io/

Google Scholar: https://scholar.google.com/citations?user=YKB6YmgAAAAJ&hl=en&oi=ao


  • Ph.D. in Statistics, Texas A&M University, 2018
  • B.S. in Statistics, Renmin University of China, 2014


My primary research is centered around developing statistical theories and methodologies to promote statistical learning in complex data, especially on data heterogeneity and model interpretability. My current research is focused on measurement error analysis, quantile regression, high-dimensional statistics, and data integration. Much of my methodology research applies to genetic and genomic data analysis, microbiome data analysis, epidemiologic research, and environmental statistics.