Transforming Data into Policy and Innovation

Dustin is a regulation economist, AI and machine learning researcher, and Visiting Fellow at Stanford’s Hoover Institution. With a career spanning academia, startups, and policy advisory roles, he blends cutting-edge technology with economic insight to drive impactful solutions.

From advising state governments to consulting for tech start-ups, Dustin’s expertise helps shape the future of regulation and business.

Nearly 1,500+ Citations and 40+ Peer Reviewed Policy Papers & Articles

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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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