Econometrics
Causal and empirical analysis
Synthetic controls, regression analysis, firm-level data, aggregation choices, and interpretation of observational evidence.
Operations Research · Economics · Quantitative Research
Models are useful when they clarify a real decision.
I work across econometrics, optimization, simulation, and policy questions — turning messy real-world data into evidence that is interpretable and useful.
What I work on
Research with structure.
The common thread is decision-making under uncertainty: causal inference, optimization, simulation, and technical communication.
Operations research
Optimization and simulation
Linear and mixed-integer models, CVXPY, deterministic optimization, and simulation for structured decision problems.
Public-facing work
Tools and visualizations
Interactive maps, web projects, and analysis intended to make complex systems legible outside a notebook.
Selected evidence
A few things worth showing.
FAIRMiles · DSI 2024
69
Organizations in a survey representing roughly 6,500 farms across 16 Sub-Saharan African countries.
Municipal economics
Synthetic control
Designed an independent study to estimate fiscal changes associated with new Costco locations.
Research experience
2023–25
BYU economics research assistant working with WRDS CRSP and Compustat data on returns and employment.