Research

_{At JSM 2025 in Nashville}

I love working on statistical problems that have direct links to applied problems. My dissertation research is focused on small area estimation that are relied upon to make key policy decisions in the US and beyond.

Question like “what is the childhood poverty rate in X county?” are often answered by using small area estimation methods.

Some of my interests include:

• Small Area Estimation
• Data Thinning for model selection and valid inference
• Areal/Discrete Spatial Modeling
• Survey Statistics
• Bayesian Methods

I am co-advised by Zehang Li and Paul Parker.

Updates

April 2026:

• We have new preprint on how we can use Data Thinning for principled validation of Small Area Estimation models. This was a really rewarding and fascinating project to work on.
• Access the arXiv preprint here
• Slides on this paper presented at UW’s STAB group
• Code available here

May 2025:

• My first dissertation project was published in the The Journal of the Royal Statistical Society, Series A (JRSS-A)!
  • Spatially Selected and Dependent Random Effects for Small Area Estimation with Application to Rent Burden
  • Access the publication here.
  • Presented the paper at JSM 2024 in Portland (link to slides).
• This paper won the Wray Jackson Smith Award from the Government Statistics Section of the ASA
• Code available here