I am currently an Assistant Professor of Mathematical Sciences at Bentley University. Prior to joining Bentley, I received my PhD in statistics at Harvard University, where I was 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.
upcoming talks & events
October 2019 - I’ll be attending the 10th Annual New Directions in Analyzing Text as Data in Stanford, CA.
November 2019 - I am speaking on the panel on Challenges in Data Science at the NextGen Data Science Day organized by the New England Statistics Symposium (NESS).
January 2020 - I’ll be presenting in the session on “Causal Inference: Matching and Beyond” at the International Conference on Health Policy Statistics (ICHPS) in San Diego, CA.
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.