I hold the position of Associate Professor of Finance at the Faculty of Economics, Shenzhen MSU-BIT University. My areas of research focus on Finance, Machine Learning, Causal Inference, Cryptocurrency, Microeconometrics, Environmental Economics, and Labor Economics. My work primarily involves applying machine learning techniques to investigate intriguing topics within the fields of finance and economics. Lately, I have developed a particular interest in utilizing machine learning methods to examine causal effects in various disciplines, including finance and economics.
Temple University, Ph.D. Economics, 2019
Dissertation: Essays on Microeconometrics and Finance.
Committee: Brantly Callaway (Chair), Oleg Rytchkov, Douglas A. Webber