I earned my Ph.D. in Economics from the University of Connecticut in 2021. During my Ph.D. study at UConn, I have taught undergraduate courses in econometrics and time series forecasting. I was also an adjunct faculty at the Eastern Connecticut State University where I taught a course in quantitative finance. My teaching interests are in quantitative methods for economics and business, as well as machine learning and open source programming (i.e. R/Python). My primary research interest is econometrics however my other interests include applied microeconomics and applications of machine learning methods for causal inference. My research has been published in Empirical Economics. Prior to joining the graduate program at UConn, I obtained an M.S. in Finance and M.S. in Applied Economics from the Johns Hopkins University, and a B.S. in Finance from Chongqing University in China.