I specialize in forecasting and statistical modeling, with a particular focus on time series.
My background in economics and data science, together with experience working with alternative, unstructured, and high-dimensional data, broadens the range of quantitative problems I can tackle and the perspectives I bring to them.
I combine this expertise with data engineering and software development practices to build reliable analytical pipelines and decision-support solutions.
A new book about how analysts can move beyond one-off analyses and build reliable, long-lived analytical projects. The book brings together practical lessons on organizing, automating, and deploying data pipelines and analytical products for applied research.
Nowcasting When Predictors Keep Changing, presented at the 46th International Symposium on Forecasting. The talk explores how to produce reliable forecasts from high-dimensional datasets whose composition changes continuously over time. See all talks ↗
The second edition of R for Economic Research was released in September 2025. The book offers a practical guide to modern economic analysis, with a strong emphasis on data workflows, statistical modeling, time series, and forecasting. It is available online for free and can also be purchased on Amazon.