Portfolio

Harvard Statistics Department senior thesis under Professor Raj Chetty and Matthew Staiger exploring the spatial relationship between Latter-day Saint adherence, upward mobility, and social capital using areal interpolation and spatial regression models. Sample available here; email me for full access.

Built a Bayesian Hierarchical Model to forecast the 2026 U.S. midterm elections using polling data, economic indicators, and historical outcomes.

Staggered difference-in-differences analysis estimating the causal effect of primary enforcement handheld device laws on U.S. traffic fatalities (2010–2022). Implements TWFE, Goodman-Bacon decomposition, and the Callaway & Sant'Anna estimator.

Weekly forecasting blog analyzing the 2024 presidential election. Built with R, featuring data visualizations, polling analysis, and probabilistic predictions.

A timed word-guessing game with unlimited guesses. Like Wordle but with a twist. Built with vanilla JavaScript and deployed on GitHub Pages.

Regression discontinuity analysis investigating whether Rotten Tomatoes' Fresh/Rotten classification causally influences box office performance in the post-COVID era, using 621 wide releases from 2021–2026.

A writing-first social networking app built around a simple constraint: one post per day, shared only with people who follow each other back.

Final paper for Professor Matthew Basilico's course, Economics of Mental Health and Homelessness, exploring the relationship between social capital and psychological well-being.

Comprehensive R tutorial on Adaptive Cluster Sampling methods, created as a teaching resource for advanced sampling techniques.

Economics seminar paper examining the elasticity of charitable giving with respect to marginal tax rates among top earners, moderated by religious observance.

Data journalism article for the Harvard Open Data Project exploring the history and patterns of Housing Day videos through data visualization.

Multinomial logistic regression analysis exploring relationships between demographic features and political ideology using survey data.

Machine learning models to predict Airbnb prices in Europe using Python. Explored various algorithms including random forests, gradient boosting, and kNN regression.

R package for computing upward social mobility metrics using Raj Chetty's Opportunity Atlas data. Open-source tool for economic mobility research.