I am an assistant professor at the University of Missouri-Columbia. I recieved my Ph.d. from Michigan State University in 2019 and a B.S. in Economics and a B.A. in International Relations from American University in Washington D.C.
My research explores advanced econometric methodology needed to address real world data problems. Specifically, I examine the assumptions underlying common estimation strategies and propose new methods that may challenge or weaken those assumptions. Current topics I am interested in are endogeneity in non-linear models, sample selection with machine learning, and panel data models that incorporate random coefficients in both a linear and non-linear setting.