I am an economist, educator, and quantitative researcher specializing in econometrics, statistics, forecasting, and data analytics. For six years, I served as an Assistant Teaching Professor of Economics at Seattle University, where I taught statistics, applied econometrics, forecasting to both undergraduate and graduate students. 

My research interests lie in both theoretical and applied econometrics. On the theoretical side, I study nonparametric estimation and regression discontinuity designs. On the applied side, I examine issues in international trade and labor economics, with a particular interest in the effects of trade liberalization on labor market outcomes.

I earned my Ph.D. in Economics from the University of Colorado, Boulder  in 2019 under the supervision of Carlos Martins-Filho. My dissertation proposed a new class of estimators for regression discontinuity designs and contributed to the literature on nonparametric causal inference.

My paper in theoretic econometrics, "Estimation of a Regression Jump: A Generalized Reflection Approach," won the Young/Emerging Scholar Award at the 2018 Australia New Zealand Econometric Study Group Meeting (ANZESG). 

My proposed project in trade “Impacts of Trade Liberalization in Developing Country Labor Markets: Evidence from China’s Accession to the WTO,” was awarded 2022 Bosanko Summer Faculty Research Grant.

Before pursuing my Ph.D., I spent nearly two decades as a software engineer in the high-tech industry, including at Hewlett-Packard. My experience in commercial software development, combined with my training in economics and statistics, enables me to bridge quantitative research, data science, and real-world applications. I am particularly interested in using data-driven methods to address questions in public policy, healthcare, business, and economic development.