PhD-era work in R on random forests for regression and prediction when part of the input information is missing.
Earlier research on autoencoders and variational autoencoders for dimensionality reduction, reconstruction, and missing-data settings.
Applied statistics work on poverty measurement in Mexico using public datasets and a learned poverty index.
Applied statistical analysis of the World Happiness Report, focused on well-being and its social drivers.