I am a fourth-year PhD Candidate in Statistics at Harvard University. My advisors are Tirthankar Dasgupta and Luke Miratrix. I am also in Marie-Abele Bind's research labMy main research interests are in experimental design and causal inference.

In 2016 I was lucky enough to receive a three-year NSF Graduate Research Fellowship to make the statistical design of experiments and observational studies more flexible for practitioners
, especially when they want estimation to focus on particular background information or effects. For more details on my current research, please see my research page.

Before Harvard, I received a B.S. in Economics and Statistics and a B.A. in Professional Writing from Carnegie Mellon University in 2014. Originally, I majored in Mathematics, but my math professors kept getting upset that I was asking so many applied questions. I found that Statistics professors - like my academic advisor Rebecca Nugent - welcomingly connected theory to the real world.

While at Carnegie Mellon, I participated in several applied projects with Pittsburgh Public Schools to determine what affects attendance and dropout rates. This is my token "when I fell in love with statistics" story, because I discovered the impact that proper statistical methods - both ones you can find in textbooks and ones you have to create - can have on individuals and communities. This work later inspired my senior honors thesis on propensity score methodologies (advised by Howard Seltman).

Before Cambridge and Pittsburgh, I was born and raised in Louisville, Kentucky, where I received an excellent education from Jefferson County Public Schools. In my spare time I run along the Esplanade; read non-statistics books; play squash, guitar, and chess; and write album and concert reviews for the music webzine ScenePointBlank.

With experience in statistics and writing, I also edit academic manuscripts for grammar, concision, and/or style. Contact me if interested.