Teaching in the classroom serves a dual purpose: it not only facilitates the passing down of knowledge across generations but also plays a vital role in academic research. My role involves instructing various undergraduate mathematics and statistics courses, covering topics such as calculus, algebra, finite mathematics, data science, introduction to statistics, and applied statistics.

In my statistical research, I am focusing on dimension reduction in both multivariate time series datasets and spatial-temporal datasets. Specifically, I aim to advance algorithms utilizing techniques like sufficient dimension reduction, envelope, reduce rank, deep learning, and machine learning methods. Furthermore, I apply these algorithms to analyze real-world datasets, contributing to practical applications in the field.