Research Metrics
About
I operate at the intersection of causal inference and machine learning, engineering end-to-end automated models that turn complex data into actionable policy and business insights. As an Economist Apprentice at Amazon and a Research Technician at UConn, I specialize in bridging the gap between academic rigor and industrial scale, developing at pace. I leverage Python, Gen AI, SQL, and AWS, to generate solutions for high-stakes problems that require scalable scientific excellence.
My long-term research interests lie in applied econometrics and the economics of Gen AI. Feel free to reach out via email or LinkedIn.
Publications
- [10]
Frydenberg, M., Mentzer, K., Patterson, A. (2026). The Rapid Rise of Generative AI Adoption among First-Year College Students. Information Systems Education Journal, 24(1), 4-18.
- [9]
Patterson, A. (2025). Assessing the Alignment of FOMC Statements with Minutes using Large Language Models. Issues in Information Systems, 26(2), 96-108.
- [8]
Zhao, W., Patterson, A., et al. (2025). From Metrics to Meaning: Estimating User Feedback Using LLM-Based Evaluation. Amazon Science.