Research

Full-Duplex Wireless

Coming soon!

Sparse Segmentation for Pathology Images

Whole Slide Images (WSIs) in pathology are enormous, rich in detail, and notoriously difficult to annotate at scale. While deep learning methods have shown promise in handling this complexity, they function as black boxes — lacking the interpretability necessary in the medical field. Developed as part of my M.Eng. thesis, this project introduces an unsupervised segmentation method for histopathological WSIs based on sparse dictionary learning. By clustering learned dictionary atoms based on shared activation patterns and reconstructing image patches through these sub-dictionaries, the algorithm assigns semantic labels with transparency. The method is demonstrated by segmenting glomerular structures extracted from mouse kidney tissue WSIs.

EpiWear: Wearable Epinephrine Injector

EpiWear is a compact, wrist-worn epinephrine injector designed to be truly wearable — minimizing size without compromising function. Developed at The Cooper Union in response to the life-threatening risks of anaphylaxis without immediate access to medication, EpiWear reimagines the traditional auto-injector in a sleek, watch-like form factor that fits seamlessly into everyday routines, addressing the critical gap in accessibility and compliance that existing devices leave behind. The invention has been recognized in multiple medical innovation competitions for its technical feasibility, safety-focused design, and potential for real-world impact.