FloCync has developed an innovative menstrual blood collection system with integrated filtration technology that enables non-invasive health monitoring and diagnostics research. Our novel solution combines a specially designed menstrual cup with dual-membrane filtration and a “click-it” vacutainer mechanism that preserves critical biomarkers by separating samples immediately at collection, before clotting occurs.
Initially targeting research institutions and clinical trials, FloCync standardizes menstrual blood collection to accelerate biomarker discovery for conditions like endometriosis and PCOS. The goal of the project is to address diagnostic delays affecting millions of women globally.
Beyond research applications, FloCync will expand to consumer diagnostics, empowering women to monitor chronic conditions at home through lateral flow assays, like pregnancy tests but for disease biomarkers. By transforming a discarded biological fluid into valuable health data, FloCync is building the infrastructure for the next era of women’s health innovation.

Enchante X is a mobile platform that revolutionizes online makeup shopping by combining ultra-realistic AR virtual try-on, AI-driven personalized recommendations, and seamless in-app retail. Users upload a selfie; AI analyzes their skin tone, facial features, and preferences to generate lifelike makeup previews that move naturally with their face. Curated product lists and direct purchase links eliminate guesswork, reduce returns, and boost confidence. With a freemium model, subscription tiers, affiliate commissions, and targeted advertising, Enchante X addresses the $61 billion U.S. beauty-ecommerce market and the $3.7 billion global AI beauty-tech sector. Designed for tech-savvy consumers aged 18–40, GLAMAI delivers truly effortless, engaging, personalized beauty experiences.

This project explores the mathematical foundations and perceptual effects of Frequency Modulation (FM) synthesis—a powerful technique used in sound design. Inspired by the classic Yamaha DX7 synthesizer, we reconstruct FM sound generation from first principles, using computational tools to analyze how modulation parameters affect the resulting timbre. By applying the Short-Time Fourier Transform (STFT), we break down audio signals into evolving spectral components, visualizing how simple waveforms combine to create rich, dynamic textures. We also introduce an interactive interface for real-time exploration of spectral features and a novel method for reconstructing sounds from their frequency components. Together, these tools provide fresh insights into FM synthesis and how complex audio structures can emerge from simple mathematical processes. This work bridges applied math, signal processing, and musical acoustics—advancing both our understanding and creative potential in sound design.

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.