My research resides at the intersection of statistics and data science. I primarily focus on non-parametric statistics, network analysis, change point detection, and variational Bayes. A significant aspect of my research is the development of computationally efficient algorithms backed by strong probabilistic convergence guarantees from a frequentist perspective. A current area of interest for me is structural estimation, particularly problems where the objective is to estimate high-dimensional parameters that possess a known structure, such as temporal or spatial relationships.