Transforming Data into Policy and Innovation

Dustin is a regulation economist with extensive AI and machine learning experience who has applied these skills as a Visiting Fellow at Stanford’s Hoover Institution in 2024. His career has spanned academia, startups, and policy advisory roles.

1,500+ Citations of Academic Articles and Peer Reviewed Policy Papers

Blog Articles

  • Orthodox Time Series Estimation: ARIMA

    To help data scientists learn some of the basic concepts behind time series forecasting, I’m planning to write a series of brief posts on the topic, starting with autoregressive integrated moving-average (ARIMA) models, a classic technique used by economists for over a quarter century. I will be primarily focusing on intuition and common pitfalls,…

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