Projects

I’m a programmer and researcher. On this page you can find select examples of both software and research I’ve contributed to.

These days, I work mostly in code. Please visit my GitHub to see what I’m actively working on.

Software

civiclens

Django application to promote access to and analyis of public comments on federal legislation. Features data pipelines to automatically collect comments from GSA along with natural langauge processsing to analyze sentiment and themes of public comments. Built in collaboration with peers from the University of Chicago for James Turk’s Software Engineering for Civic Tech course.

Currently a public archive and not under active development.

dirty comments, clean plates

Predicting resturant health inspection failure using Yelp review data. Additionally, explores more novel use cases for using open-source large language models (e.g. BERT) to identify fake review text generated by ChatGPT. Done as a group project for Advanced Machine Learning for Public Policy at the University of Chicago.

votekit

Python library to study and analyze election systems, such as ranked-choice voting. Developed as a fellow for Moon Duchin’s summer research program. Now maintained by the folks at the Data and Democracy Lab.

Papers

Comparing Electoral Systems for the Massachusetts Legislature

Study on election systems in the state of Massachusetts. Done in partnership with the Data and Democracy Lab and New America. Click here to read New America’s corresponding brief.

Measuring Creative Destruction

Comparative econometric study examining empirical evidence for Joseph Schumpter’s theory of creative destruction (see here). Published as an undergraduate at Creighton University in QUEST: A Journal of Undergraduate Research.