Design, build ,and test improvements to Tigon’s suture passer surgical tool. Improve reliability and effort required by the surgeon.

For EN.601.290 (User Interfaces & Mobile Applications), our group developed a mobile app that allows users to log their clothing into a virtual closet, customize and save outfits, and view their closet at a glance on their phones. We hope this project will foster creativity and experimentation, encourage users to buy less and wear more of what they have, and have fun with fashion without the need for any special purchases beyond what they already own.

Design, build, and test a precise camera system that can operate in a vacuum tank. The camera system will be used to search for habitable planets.

Acute Kidney Injury (AKI) is a sudden loss of renal filtration capacity that leads to toxin and fluid accumulation. Patients who survive AKI-related hospitalizations are frequently readmitted, contributing to poor outcomes and healthcare strain. However, existing readmission risk tools are often based on small, single-center cohorts and lack generalizability.

To address this, we linked the Johns Hopkins Precision Medicine Analytics Platform with Kaiser Permanente Mid-Atlantic EHR data to construct a large, multi-center post-AKI cohort of over 60,000 admissions, integrating demographics, comorbidities, lab trends, vital signs, and other physiologic data. We trained a stacked gradient boosting ensemble that achieved an AUROC of ~0.65 for predicting 90-day all-cause readmission—outperforming logistic regression and single-model baselines.

Systematic feature analysis identified dynamic vital signs and bedside physiologic measurements as key predictors, supporting the development of a concise, clinically actionable risk score to identify high-risk patients and guide targeted post-discharge interventions.