What Does the Right to the City Look Like in Camden?

How can residents claim a “right to the city” in places long defined by distress and persistent poverty? This research examined community well-being in Camden, New Jersey, using a mixed-method framework to explore how objective, subjective, and behavioral indicators shape quality of life in a city navigating decades of economic hardship. Presented at the Graduate… continue reading

Making Explainable Decision Trees Faster & More Accessible

Balancing model accuracy with interpretability remains a central challenge in machine learning, particularly for classification tasks involving large datasets and continuous variables. This work examined how optimal sparse decision tree frameworks can be made more efficient and accessible without sacrificing their explainability or theoretical guarantees. The research was presented at the Graduate Poster Exhibition during… continue reading

Race, Power, & Pedagogy: The Bluest Eye & Get Out

Debates over censorship, curriculum, and literary value continue to shape how certain texts are taught in U.S. classrooms. This work examined why The Bluest Eye remains both contested and essential, focusing on how its narrative structure and thematic complexity invite deeper engagement with race, class, and gender rather than justifying its exclusion. The analysis was… continue reading

Using Light to Trigger Drug Release in Nano-Polymersomes

Controlling when and where drugs are released inside biological systems remains a central challenge in targeted therapy. This work investigated how light-responsive nano-polymersomes could enable precise, on-demand cargo release by using pulsed laser irradiation to disrupt vesicle membranes with high spatiotemporal control. The research was presented at the Graduate Poster Exhibition during the 2025 SPARK!… continue reading

Automating Custom Loss Functions in Deep Learning

Designing and training deep learning models often requires advanced expertise, particularly when defining loss functions, optimizers, and model architectures. This work explored how large language models could lower those barriers by automating the creation of custom loss functions tailored to specific optimization goals. The capstone was presented at the Graduate Poster Exhibition during the 2025… continue reading

Exploring Memory, Protest, & Power Through Fiction

A buried history, a campus in upheaval, and a relationship under strain shape Lux et Lex, a novel in progress as of April 2025. Set at a fictional liberal arts college, the work examined how institutional memory, protest, and personal relationships collide when long-suppressed histories resurface. The novel was presented at the Graduate Poster Exhibition… continue reading