My research portfolio is both broad and deep, spanning directional statistics, high-dimensional covariance estimation, graphical models, and beyond, into the theoretical nuances of Bayesian computation and MCMC, stochastic processes, genomics, and neuroimaging. This diverse expertise reflects my commitment to pushing the boundaries of what’s known and exploring the yet-to-be-discovered.

Collaboration is at the core of my approach. Through various research assistantships, I’ve had the privilege of working within interdisciplinary teams, tackling challenges in cardiovascular medicine, education pedagogy, and more. These experiences have not only enriched my understanding but have also led to contributions in peer-reviewed articles, cementing my role as a key player in scientific advancements.