I am most interested in developing semiparametric efficiency theory and nonparametric statistical methods in causal inference and survival analysis. Recently, I worked with Dylan Small on projects relating to inference on monotone density ratio functions and testing global null hypotheses with continuous exposures. My dissertation work, advised by Marco Carone, was at the intersection of targeted learning and shape-constrained estimation. I developed general theory for nonparametric inference on monotone functions (Ann. Stat., forthcoming), and used this theory to study a variety of problems in causal inference and survival analysis with observational data.
In collaborative scientific research, I have been working with researchers and clinicians in the Pediatric IDEAS research group at the Children's Hospital of Philadelphia to develop and apply statistical methods to address questions relating to the prevention and treatment of pediatric infectious diseases. I have also worked on projects related to vaccine and oncological applications, examples of which can be found here, here, and here.