You can read my research statement here to learn more about my research interests and approach.
Research
Published Papers
An Introduction to Conformal Inference for Economists
With Mark E. Schaffer (2025). Invited paper for the Eighth International Econometric Conference of Vietnam, 'Artificial Intelligence and Machine Learning in Econometrics', 2025
Provides an accessible overview of conformal inference methods and their relevance for econometric applications.
Working Papers
Testing for improvements in algorithmic decision making
Developing a framework for intelligent resource allocation across cloud and edge infrastructure to optimize performance and energy consumption.
Ensembling prediction sets with coverage guarantees via concentration inequalities
This paper introduces a novel method for ensembling conformal prediction sets from multiple models via concentration inequalities, ensuring guaranteed overall coverage.
Adaptive ensembling of prediction sets in online time series forecasting
In this paper, I develop an online, adaptive ensemble conformal prediction algorithm for time series forecasting. The method dynamically updates model coverage parameters and ensemble weights to maintain target coverage guarantees while adapting to potential distribution shifts.
Leaving the Church. A Note on the 1843 Disruption of the Church of Scotland
With John W. Sawkins (2024)