About

I am a researcher and data analyst driven by a simple philosophy: complex data shouldn't result in complex findings. Understanding research shouldn't be a luxury reserved for specialists. My goal is to bridge rigorous research with clear storytelling. Disseminating data should be intuitive, engaging and accessible.

After graduating from the University of Rochester in 2024, I spent three weeks at Marine Corps Officer Candidate School before realizing my curiosity was pulling me toward research instead. Since then, I've been teaching myself the tools the field runs on — balancing that with work as a Crew Member and Order Writer at Trader Joe's, website development, and my own research on the side.

When I am not working, I'm usually tinkering with my website, chasing a new research question, or losing at go, chess, or Elden Ring. Right now I am job hunting and beginning a new project, details are still taking shape. Research is my passion, and I'd bring that same curiosity to your questions too.

Education

University of Rochester B.A. Financial Economics
(Econometrics, Applied Statistics, Data Analysis)
IBM via Coursera Data Visualization with Python Databases and SQL for Data Science with Python Python for Data Science, AI & Development

Research Experience

MDRC Research Assistant
Analyzed Conditional Cash Transfer (CCT) program data across U.S. cities and advised partner teams on economic mobility and housing programming; awarded the Rebecca Blank Fellowship for excellence in policy research.
University of Rochester
Dr. Singleton's Lab Research Assistant
Assessed 1,200+ school board meeting minutes across 147 districts, coding policy keywords (Critical Race Theory, book bans, and related topics) to build training data for a model measuring policy popularity.

Toolkit

Analysis Causal inference, difference-in-differences, time-series methods, regression analysis
Languages Python, SQL, R, STATA
Libraries Matplotlib, NumPy, Plotly, pandas, statsmodels
Datasets ACS/IPUMS , FRED, public sources