I placed 3rd and won the Alumni Choice Award (through online vote) in the Johns Hopkins 3 Minute Thesis Competition! You can check out my talk here.


Generalizing RCT findings to a Target Population

Research from my PhD dissertation

Recent Publications

More Publications

(2018). Implementing Statistical Methods for Generalizing Randomized Trial Findings to a Target Population. In AddictBeh.

PDF Project

(2018). Measuring model misspecification: application to propensity score methods with complex survey data. In CSDA.


Recent & Upcoming Talks

More Talks

Using Statistics and Data Science for Public Health and Social Good
Apr 2, 2019 4:00 PM
Building a Personal Website using R
Feb 26, 2019 12:15 PM

Recent Posts

Yesterday, I was trying to put some finishing touches on a figure I made in ggplot2 that visualizes some simulation results. The plot features several panels using facet_grid(), and uses colors to distinguish between different regression models that were fit to the simulated data. I wanted to label certain axes and panel names using the Greek letters I had used as parameter notation, and I also wanted the labels in the color legend to correspond to the different regression models I had fit.


This is my first time doing 🎉Tidy Tuesday🎉 ! The data for this week came from a FiveThirtyEight blogpost, which breaks down post-college salaries by discipline. The documentation and data for this week can be found in this GitHub repo. One thing I found really interesting in the data was the variable College_jobs, which counted the number of people per major with jobs that required a college degree. I wanted to use this information to look at each major’s median income by percent of recent grads employed in positions requiring/not requiring college degrees.


About three years ago, I received a letter in the mail from Nielsen inviting me to participate in one of their panels. After spending a while on the phone with a representative to determine that it wasn’t a scam, I figured I’d give it a go. I tend to take great interest in knowing where data come from (especially when reporters and media sources try to use statistics to make a point), and as an avid tv watcher, it was cool to learn more about how Nielsen generates ratings and estimates program viewership.