Director of Education & Applications focused on making advanced econometric software usable, reliable, and teachable.
I work at the intersection of technical depth, product ownership, and user enablement. My role centers on translating advanced econometric and time-series methods into production-ready software, clear documentation, and effective training that helps users do real work with confidence.
Much of my work has been within the GAUSS ecosystem, where I’ve led development, testing, documentation, and education initiatives supporting applied economists, analysts, and researchers. The repositories here reflect long-horizon, real-world software development: not just models that run, but tools that are maintainable, testable, and understandable to the people who rely on them.
I currently serve as Director of Education Services at IMPLAN, where my work emphasizes applied economics, user enablement, and helping organizations translate economic theory into practical insight for decision-making.
This GitHub primarily reflects my work supporting education, documentation, and user enablement for advanced analytical software, alongside the technical foundations that make that work credible and sustainable.
Across the repositories here, you’ll find:
- Production GAUSS code supporting econometric, time-series, and simulation workflows used by applied economists and analysts
- Reference implementations and test suites designed to ensure correctness, reproducibility, and long-term maintainability
- Teaching examples and instructional code used in training, documentation, and user support
- Internal tooling and utilities developed to support product reliability and developer workflows
While much of this work is technical in nature, it is driven by an education-first perspective: building tools that are not only statistically sound, but also understandable, teachable, and usable by real practitioners.
Different readers may approach this work with different questions in mind:
- If you’re evaluating technical depth, focus on the core model implementations, test suites, and long-horizon codebases that emphasize correctness and maintainability.
- If you’re interested in education and enablement, look for instructional examples, documentation-oriented code, and repositories designed to support learning and user success.
- If you’re assessing product ownership or leadership, note the emphasis on testing, structure, and clarity—signals of software built to be supported, taught, and evolved over time.