My work focuses on data science research at the intersection of statistical and machine learning methods, with an emphasis on analyzing clinical workflows, AI implementation in healthcare, and human-centered outcomes. More broadly, I am interested in statistical machine learning, dependence-aware modeling with copulas, predictive modeling, and population health. I am also interested in the theoretical side of statistical machine learning, but my primary focus is on applied methodological research that balances statistical rigor with practical relevance in complex biomedical and public health settings.