I’m a Ph.D. candidate in Agricultural and Applied Economics at Virginia Tech. I study how environmental change and economic incentives shape agricultural production and land use. My work examines how producers respond to climate stress, resource constraints, and policy changes, including decisions to adjust production practices or adopt conservation measures. I am particularly interested in what these adjustments cost, who benefits, and how policy can support them.

Methodologically, I combine applied econometrics, causal inference, and benefit–cost analysis with modern tools such as machine learning and remote-sensing data. My goal is to link rigorous empirical research to practical decisions facing producers, landowners, and policymakers.

Before Virginia Tech, my earlier research at the Vietnam Institute of Economics and the International Center for Tropical Agriculture covered climate adaptation, rural livelihoods, agricultural value chains, and structural change.

My job market paper, Estimating the Economic Impacts of Climate Stress on U.S. Dairy Production: Evidence from Debiased Machine Learning and Simulation-Based Estimator Choice, is co-authored with Mario Ortez, Bradford Mills, and Michael Cary. We study heat and cold exposure, milk yield, and fat content in 21 major U.S. dairy states, using simulations to guide estimator choice.

Research Areas

• Agricultural, environmental and resource economics
• Climate adaptation, climate mitigation, conservation incentives, technology adoption, ag land value land use change
• Applied econometrics and causal inference
• Causal and predictive machine learning
• Modeling and simulation