I am a fifth-year PhD Candidate in Statistics at Harvard University. My dissertation advisors are Tirthankar DasguptaLuke Miratrix, and José Zubizarreta. 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 improve the design and analysis of experiments and observational studies. 
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 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 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.

  • I will be giving an invited talk at the International Conference on Design of Experiments (ICODOE 2019in Memphis, Tennessee, May 18-21, 2019.
  • I will be giving an invited talk at the International Conference on Econometrics and Statistics (EcoSta 2019in Taichung, Taiwan, June 25-27, 2019.