Applied Python and Bayesian inference to census and environmental data to quantify urban heat disparities by income
Extended prior urban heat research using R, tidycensus, and spatial autocorrelation methods including LISA and Moran's I tests on census data
Developed custom Python programs implementing the Method of Gauss and Monte Carlo uncertainty quantification to determine asteroid orbits
Captured and downloaded at-risk public environmental datasets and documented metadata during RDAP hackathons and independent sessions as part of this grassroots data preservation initiative
Built and maintained program websites documenting simulations, projects, and coursework for an Eyes on the Skies meteorology class
Co-led student organization and partnered with Hampden Center nonprofit to advance a racial dialogue initiative
Received nonprofit leadership training and led door-to-door outreach with ethnic businesses to raise immigrant rights awareness during ICE enforcement activity
Competed on outreach team in grades 9 and 10
Completed a four-week paid internship in Rochester assisting senior engineers with loop planning, wiring configuration, and field troubleshooting on commercial electrical projects
Competed at the varsity level and lettered in both cross country and track for all four years of high school