A collection of coursework, research, and personal projects spanning CS, education technology, and AI.
A full trip-planning program built in DSSL2 for a Data Structures and Algorithms class at NU. Before writing a single line of code, I produced three complete design documents, mapping out data flow, edge cases, and complexity goals. The final implementation uses hash tables, direct addressing, binary heaps, and Dijkstra's algorithm to compute optimal routes efficiently across large graphs.
As a volunteer instructor with NU TIDAL Lab and TIILT Lab, I teach classes of 5th grade students with diverse communication styles and learning needs. Working from a prescribed curriculum which is adjusted when necessary to best align with student needs, instruction is aimed at strengthening students' sense of belonging in computing as they learn about computer science and data science through music and sports. I contribute structured observational data on CS teaching strategies to allow researchers to examine best practices in CS pedagogy.
Learned with the workshop subgroup of Northwestern's Responsible AI Student Organization to make a machine learning project. The tool aims to recognize ASL signs in photos, with a focus on responsible design considering accessibility, bias, and the communities this technology is meant to serve.
More projects on the way.
Check back soon!