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A little about me, I am an Economist working at Amazon, within the advertising domain, where I focus on measuring incrementality using causal inference methods. I received my Master's from the Department of Economics at the University of Texas at Austin and my Ph.D. from the Department of Economics at the University of California, Riverside where I worked on overcoming endogeneity issues in large panel data models with Tae-Hwy Lee. More broadly, my research interests include econometric theory, causal inference, machine learning, financial econometrics and applied econometrics.