I have had the privilege of teaching five core courses for PhD students in the University of Louisville Biostatistics program, encompassing a range of advanced topics including Advanced Linear Models, Generalized Linear Models, Mixed Effect Models and Longitudinal Data Analyses, Advanced Statistical Computing, and High Throughput Data Analyses. Additionally, I have supervised 6 Master's students and 15 PhD students who conducted their research in the fields of Biostatistics and Bioinformatics. Of particular note, I have mentored 10 PhD students engaged in methodological research on causal inferences and personalized medicine, as well as the modeling of time and spatially correlated data. Presently, I am serving as a mentor to 4 PhD students who are actively engaged in the areas of clinical trial designs, integration of omics data and clinical data, and developing prognostic and predictive models to assess treatment effect and treatment heterogeneity, employing advanced statistical and machine learning techniques in their research.