20 percent of methane emissions come from food waste in landfills. Continuous, quantitative montoring is essential to managing and reducing food waste. We developed a data-driven solution that automatically collects and processes compost weights from post consumer plate waste in campus dining halls. Students scrape their plates into compost bins when they return their dishes; our system collects the ongoing weight of the bin without disrupting existing student and staff workflows. These data are visualized and analyzed with our user-friendly graphic user interface, which allows staff to extract insights to inform sustainability goals and operational decisions.

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.

Design, build, and test a new process and measurement equipment for NAVAIR to use for certifying air transport worthiness of cargo and vehicles.

Our app is a gamified productivity tracker in which users will be able to add tasks and assign point values to each task. The user can then create real-life rewards for themselves and set the number of points required to “purchase” the reward. Our app differs from other productivity game apps because it will be more streamlined and provide fewer distractions from the work the user is trying to do. The app will use databases to keep track of the tasks and rewards.