My research lies at the intersection of environmental and development economics, with some overlap in applied microeconomics and macroeconomics. I use emerging tools, including convolutional neural networks, satellite data, and AI, to address economic questions with real-world significance. That same spirit of inquiry shapes my teaching: I design research-driven courses that equip students to think critically, work confidently with data, and use AI as a co-intelligence partner in empirical analysis and research. I believe each student I encounter is made in the image of God, and this conviction shapes how I teach and engage with students. Beyond disciplinary knowledge, I encourage them to wrestle with the larger question of what it means to live a purpose-driven life, while freely exploring ideas and pursuing knowledge with intellectual rigor and purpose.