Hello and Welcome!
I'm a recent PhD graduate in the Department of Agricultural and Applied Economics at the University of Georgia. My research interests are Applied Econometrics, Time Series, Climate Change, Agricultural Yield Prediction, Energy Use, Net Metering, Risk Analysis, Greenhouse Gas Emissions, Statistical Analysis, Data Science, and Machine Learning.
My dissertation integrates causal inference, time series analysis, and machine learning to quantify the dynamics between economic activity, energy consumption, and environmental impacts across multiple scales and sectors. The first essay leverages time-series methods to investigate the causal linkages between emissions, energy usage, and economic growth in U.S. sectors. The second essay employs quasiexperimental techniques to assess the emissions impacts of state-level net metering policies, which have catalyzed distributed solar adoption. The third essay develops explainable machine learning models to predict county-level rice yields, exploring the marginal influence of climate variables, soil properties, and management practices.
I am currently on the job market. Feel free to contact me if you have any questions or comments about my research.
Dissertation Title: "Three Essays on Greenhouse Gas Emissions, Energy Use and Climate Change"