Research

My recent research has focused on racial disparities in women's health, with a particular focus on delivery methods using the CDC NVSS datasets. However, I will also soon begin on a large project as part of the UW Biostatistics Capstone program; details will be added on that topic at a later date.

My substantative research projects are included below with synopses. Software-focused and/or smaller projects are included on this site under Software.

Racial Disparities in Delivery Methods (March 2026 - Present)

I have been working with Dr. Ellen Kauffman and Dr. Kathleen Kerr on racial disparities in delivery methods using the CDC NVSS natality microdata.

Our work examines racial disparities in cesarean and induction rates within an NTSV population, including evaluation of these disparities across differing levels of comorbidity burden.

By stratifying by race and comorbidity burden, we aim to evaluate the robustness of observed racial disparities in the context of maternal health characteristics. Considering induction rates alongside cesarean rates may also help identify potential avenues for clinical intervention.

While this research is in the submission phase, we are also investigating trial of labor after cesarean (TOLAC) success rates across racial and regional groups. This additional work uses the CDC NVSS aggregate dataset due to restrictions on regional variables in the public-use microdata.

Independent Project: Effectiveness of ChatGPT's Poetry (2023 - 2024)

At the University of Illinois at Springfield (UIS), I worked on research relating to AI's capabilities in generating form-based poetry under Dr. Hei-Chi Chan. I presented to the UIS STARS Symposium and received the Best Presentation in Humanities award, and spoke in an interview on this research for the UIS AI Campus Learning Community.

This project was based in qualitative data, referencing both statistical methods alongside linguistic and literary guidelines. Poetry was restricted to traditional forms (e.g. Shakespearean sonnet) so that the texts could be more clearly defined, and defined poetic measures of success included adherence to form, readability/grammar, focus on a (few) central idea(s), and novelty. I fully developed measures for adherence to form and readability/grammar, and was in the progress of working with measures for novelty prior to time-related constraints.