Publications

Textual analysis of the Federal Reserve Beige Book from 1970 to 2025 to explore whether anecdotal economic information matters.

Highlighting the methods needed to assure that ML and AI models are explainable, fair, and bias-free.

Using earnings call textual analysis to measure how supply chain bottlenecks translated into price increases during the post-COVID …

Evaluating high-frequency shipping data as a real-time trade indicator, with applications to tracking COVID-19’s impact on U.S. …

Novel graph neural network method to model worldwide trade in the context of a network graph to predict trade unit value.

Ensemble machine learning and association rules mining to improve agricultural trade during outlier events.

Using cross-sectional regressions and panel regressions to study the effects of child health on the population of Krygyzstan during …

Using protein x-ray crystallography, the structure of VHS-like domain of Tepsin is determined.