Abstract
In this talk, I will survey some of my dissertation work on algorithmic problems arising in the design and analysis of randomized experiments. I hope to give a sense of the style of problems and technical work that I enjoy. During my dissertation work, I was asking: How can we design sampling algorithms to achieve desired levels of covariate balance in a randomized experiment? How can we estimate the variance of a treatment effect estimator in the presence of general interference? How should we analyze and design so-called "bipartite" experiments where units which receive treatment are distinct from units on which outcomes are measured?