The Lower Limb Health Assessment (LLHA) project showcases my expertise in evaluating joint mobility, muscle strength, and functional performance. Designed to support sports medicine professionals and performance coaches, the LLHA provides comprehensive insights that facilitate the creation of personalized rehabilitation and training programs. This project underscores my ability to develop data-driven solutions for ensuring safe and effective progression back to peak performance.

The Lower Limb Health Assessment (LLHA)

This portfolio highlights my specialized work in the rehabilitation and return-to-play protocols for hamstring injuries. Through detailed data visualization and analysis, each project provides actionable insights for sports medicine professionals and performance coaches. The focus is on developing tailored recovery programs that ensure a safe and effective return to peak athletic performance. These projects demonstrate my ability to integrate data-driven strategies with practical applications in sports medicine.

Hamstring Return to Play

As a physical therapist, I’ve always believed in the power of education and technology to transform patient care. Today, I’m excited to share a new tool I’ve been developing—an interactive ACL Injury Causal Loop Diagram using D3.js, embedded directly into a Wix website.

This visualization isn’t just about data; it’s about making complex information accessible and engaging. By visualizing the intricate factors contributing to ACL injuries, I’m hoping to provide an educational resource that both clinicians and patients can use to better understand injury mechanisms and prevention strategies.

Anterior Cruciate Ligament - Network Analysis

This tool is designed for sports medicine providers to evaluate a patient's readiness to return to running post-ACL reconstruction. Using objective measures such as body weight, strength (estimated 1RM), knee range of motion (ROM), and effusion levels, this calculator provides actionable feedback. It helps clinicians assess key physical parameters, generate individualized recommendations for further rehabilitation, and document the results in a downloadable PDF report.

Running Readiness Tool

This code provides an interactive guide for assessing and managing patellofemoral pain, organized into tabs that cover understanding risk factors, subjective and objective evaluations, and treatment options. Each tab includes interactive elements like dropdowns, checkboxes, and sliders to capture patient information and display clinically relevant recommendations. Users can assess pain severity through the KOOS-PF questionnaire, calculate a score, and access additional tools like the Kujala Patellofemoral Score. A PDF report generator compiles all user inputs into a structured summary for easy documentation and follow-up.

Patellofemoral pain guide