Quantitative Economics · Data Analysis · Research
Most people have portfolios full of coursework. This one is made up entirely of fun, self-driven projects I chose to spend my time on.
Machine Learning · Sports Analytics · Full Rebuild
Rebuilt from the ground up for the model's one-year anniversary. Upgraded to a dynamic logit framework, automated the full data pipeline, and gathered proprietary data with no reliance on scraped third-party sources.
Forecasting · Transportation Economics
MBTA ridership data analyzed alongside weather patterns and seasonal trends to figure out how the T could optimize operations. Built in R with reproducible code that pulls data straight from the source.
Political Economy · Data Collection and Analysis
Do polls predict elections or actually influence them? Scraped polling data from across the web and cleaned it with custom Python scripts to examine this question using data from the 2024 presidential election.
Interactive Education · Web Development
Building an interactive learning platform for Bentley University's Intermediate Microeconomics course alongside Professor Sunder. Integrates dynamic visualizations, randomly generated practice problems, flashcards, and lecture content into a unified chapter-by-chapter system using HTML and JavaScript.
Machine Learning · Sports Analytics
A two-stage ML model to predict UFC fight outcomes. First classifies fighters by style, then predicts matchup results based on how those styles interact. Tracks model performance and hypothetical betting returns on a live dashboard.
Interactive Game · Sports Analytics
A daily UFC fighter guessing game where you identify a mystery fighter using stat comparisons. The other UFC daily games are pretty bad, so I built my own. New fighter every day.
Regulatory Economics · Causal Inference · Policy
Leverages the EPA's 0.071 ppm ozone threshold in a regression discontinuity design to quantify the revenue impact on U.S. manufacturing firms, finding a $277M annual reduction absent from the EPA's own analysis.
Hardware · API Integration · Real-Time Data
A physical LED art piece on a Raspberry Pi that tracks MBTA trains in real-time. All software and API work is finished. What remains is building the frame and mounting the LED lights.
Urban Economics · Causal Inference · Policy Research
Applied a difference-in-discontinuities design using C2Smart traffic camera data and MTA ridership records to estimate the causal effect of NYC's congestion pricing zone on vehicle traffic, pedestrian activity, subway ridership, and commercial outcomes at the 60th Street boundary.
Applied Econometrics · Science of Science
Using dash frequency in academic papers as an instrument for AI-assisted writing. Estimating the causal effect of AI tool adoption on research output quality and productivity.
Applied AI · Behavioral Economics · Game Theory
Using Expected Parrot's EDSL framework (John Horton, MIT Sloan) to run agentic LLMs as simulated economic agents. Testing historical counterfactual prediction accuracy, causal impact analysis, and game-theoretic behavioral modeling. Explores whether Homo silicus replicates and extends findings from classic economics experiments.
Urban Economics · Health Policy · Causal Inference
Working paper with Dhaval Dave and Greg Colman estimating the effect of the Manhattan Congestion Zone on EMS response times, using variation induced by the January 2025 toll implementation.
Quantitative Economist and Data Analyst
I recently graduated from Bentley University with a BS in Quantitative Economics and a double minor in Mathematics and Data Technologies. I'm now pursuing the MS in Quantitative Economics at New York University, with expected graduation in May 2027.
My work sits at the intersection of data and policy. I'm drawn to questions where careful empirical methods can cut through noise and say something concrete about how the world works. I've built tools for sports prediction, transportation research, and political economy, always trying to combine rigor with work that's actually interesting to look at.
Outside of coursework I spend a lot of time on personal projects. I'm especially interested in transportation economics, spatial analytics, optimization problems, and the emerging field of Homo silicus — using large language models as simulated economic agents to replicate and extend classic experiments in economics and game theory. Feel free to look around. I had a lot of fun building these.
Expected May 2027. NYU Economics Teaching Fellowship, Summer 2026.
Double Minor in Mathematics and Data Technologies. GPA: 3.74. Relevant coursework: Econometrics, Statistical Analysis, Data Analytics, Mathematical Economics, Public Policy Analysis.
Presented Chaurey and Le's paper on the RSVY program, India's 2003 to 2007 infrastructure maintenance initiative targeting 147 "backward districts." Using a regression discontinuity design around the backwardness index threshold, the paper finds that maintenance spending (not new construction) drove a 14 to 16% increase in village-level non-farm employment, entirely through informal microenterprises.
Presented and taught Asher and Novosad's (2019) paper to a course, covering the paper's instrumental variable strategy, spatial identification approach, and implications for infrastructure policy in developing economies.
Taught a class on Vector Autoregression (VAR) and Vector Error Correction Models (VECM), explaining how these time series models work and demonstrating their application in economic analysis.
An animated explainer video walking through the theoretical predictions of our experiment. Covers game-theoretic structure, equilibrium intuition, and mathematical foundations in a 3Blue1Brown-inspired visual style.
Presented on regulatory reform under limited data, exploring methods to make policy decisions and analyze regulatory impacts when information is incomplete or constrained.
Presented the capstone research paper at Bentley University's Undergraduate Research Day. Covers the difference-in-discontinuities identification strategy, C2Smart and MTA data sources, and results on vehicle traffic, pedestrian activity, subway ridership, and commercial outcomes at the 60th Street congestion zone boundary.
Upcoming teaching fellowship in the NYU Economics department for the summer 2026 semester, supporting undergraduate economics instruction.
Collaborating with Professor Sunder to build an interactive learning platform for Intermediate Microeconomics, integrating visualizations, practice problems, flashcards, and lecture content into a unified chapter-by-chapter system using HTML and JavaScript.
View Course SiteCompiled and analyzed data on 2025 ASSA conference education sessions, focusing on geographic distribution and representation. Assisted Professor Savannah Adkins in research examining global trends and socioeconomic biases in economic literature.
Data intern supporting regulatory analysis efforts. Compiled and cleaned datasets using Python, produced statistical summaries, and conducted literature reviews on the economic impact of federal regulations. Attended congressional and agency hearings on regulatory policy.
Internship Blog Posts