Research Abstract
My research interests concentrate around statistical methods for the analysis of biomedical public health data, particularly in studies of infectious diseases and immunology, cancer, and their intersection. Specific methodological interests include causal inference and causal machine learning for assumption-lean inference on treatment effects, corrections to handle missing data, complex dependence structures in longitudinal data, the design and analysis of observational studies in epidemiology, the design and analysis of clinical trials with adaptive randomization schemes, data fusion and augmentation for combining evidence from randomized controlled trials and observational studies, reproducibility and replicability in statistical data science, identification and evaluation of biomarkers and surrogate endpoints, and applications in high-dimensional/computational biology.
