I am a third year PhD candidate in the Department of Statistics at the University of Michigan. I currently work with Johann Gagnon-Bartsch and Ben B. Hansen on projects relating to a range of topics within causal inference. I am primarily interested in improving treatment effect estimation using data from randomized controlled trials (RCTs). Our projects include improved estimation by combining observational data and data from randomized controlled trials, precise estimators for paired cluster randomized trials, and specialized propensity score matching methods. I am also interested in causal inference under the presence of interference.
My interests are driven by a desire to do research with applications in education and public health. Within these broad fields, I am interested in educational interventions, pedagogy, equity in education, social determinants of health, and equity in health care access. I am also committed to improving as an instructor and am interested in Statistics pedagogy, with particular interest in improving instruction of introductory statistics courses.
PhD in Statistics (expected), 2024
University of Michigan
MA in Statistics, 2021
University of Michigan
BA in Mathematics with a Statistics Track, 2017
Carleton College
Analyst (August 2017 – December 2018)
Intern Analyst (June 2016 - August 2016)
Contributed to the creation and support of data-driven arguments in anti-trust and consumer survey cases.