I am a 5th year Ph.D. candidate in statistics at Harvard University. My academic advisors are Luke Miratrix, Mark Glickman, and Fabrizia Mealli. My research is eclectic and I find myself constantly being drawn to applied statistics problems in fields ranging from social science to pharmaceutical research. But underneath it all, I'm interested in the development and application of methods for causal inference with complex data, including text data, randomized experiments complicated by issues such as non-compliance, and observational studies with time-varying treatments.
NEWS & HAPPENINGS
- I will be giving talks at the Preconference on Politics and Computational Social Science on August, 29 2018 and at the Text as Data conference in September, 2018.
- I presented my work on text matching the European Causal Inference Meetings in Florence, Italy in April, 2018.
I'm currently most interested in problems related to causal inference in complex experiments and observational studies, particularly in settings where the covariates and/or outcomes of interest are defined by features or summary measures of text.
I enjoy teaching and am interested in statistics education research. Both in and out of the classroom, I strive to foster enthusiasm for the art and practice of statistics and to develop materials and programs that empower students to actively engage with data.
When I'm not pondering causal questions or pouring through R code, I enjoy reading, yoga, running, and spending time with family.