I am a 5th year Ph.D. candidate in statistics at Harvard University, where I am a member of the CARES Lab led by Luke Miratrix and affiliate of the Institute for Quantitative Social Science. My research is eclectic and I find myself constantly drawn to applied statistics problems in fields ranging from education to political 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
September 2018 - I will be giving invited talks at the Preconference on Politics and Computational Social Science in Boston, MA and at the Text as Data conference in Seattle, WA.
October 2018 - I will be giving an invited talk at the Harvard Data Science Conference in Cambridge, MA.
November 2018 - I will be leading a causal inference workshop for the Laboratory for Computational Physiology at MIT Critical Data in Cambridge, MA.
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.
Pedagogy is an integral part of my career as a researcher and statistician. As an educator, I strive to foster enthusiasm for statistics by developing curriculum and external initiatives that empower students to actively engage with data in and out of the classroom.
When I'm not pondering causal questions or pouring through R code, I enjoy reading, running, and spending time with family.