PhD Student Researcher
Teacher
Hiker
As a PhD candidate at UC Berkeley, I build and apply machine learning models to extract signals from noisy, large-scale data. I specialize in problems of information uncertainty, using tools like computer simulation, remote sensing, and LLM-based analysis to create robust predictive models. My recent projects focus on optimizing pollution monitoring networks, and I am actively developing new methods for data collection and inference using LLMs and other transformer applications.
Research Interests
AI & Machine Learning Innovation
Applied Probability & Stochastic Modeling
Causal Inference & Bayesian Experimentation
Teaching Interests
Programming for Economists
Econometrics
Education
PhD Student, Graduate Student Researcher
Dept. of Agricultural & Resource Economics, UC Berkeley
(2020 – Present)
Fields: Energy, Resource, Environmental Economics; Industrial Organization; Public Finance
MS in Applied Economics, Oregon State University
(2018 – 2020)
Research Project: Quantifying Colony Collapse Disorder in US Honey Bees
Minor: Mathematics
BS in Physics, Oregon State University
(2010 – 2014)
TA: Introduction to Electronics for Physicists
Thesis: Measurement and Modeling of Zinc Sulfide Thin Films using Ellipsometry and Reflection Spectroscopy
Aaron C Watt 