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Swing Optimizer Pro is a Python-based diagnostic tool that processes 3D motion capture data from OpenCap to extract kinetic metrics from swing kinematics, delivering athlete-specific feedback to improve mechanical efficiency and performance. The system runs an automated pipeline that uses raw motion capture files, applies a weighted composite scoring model across key biomechanical variables, and outputs prioritized recommendations benchmarked against evidence-based standards. Designed as a translational framework to bridge the gap between data-heavy motion analysis and actionable coaching insights — making advanced biomechanical screening accessible to athletes.
Pitching Injury Risk Model
Dr. Kristen Cardinal’s Tissue Engineering Research Lab
Applying tissue engineering concepts for electrospinning-based scaffold fabrication to be used in neurovascular Blood Vessel Mimics (BVMs) for clinical in vitro device testing applications. I'm the lead in SEM imaging and SIMPoly, to measure and characterize fiber morphology while quantitatively analyzing fiber structures. Optimized scaffold fiber morphology and density with an environmentally safer solvent solutions to enhance lab safety, reliability, and reduce environmental hazard. Additionally, pioneered the fabrication of nanofibers, yiedling optimal cell adhesion to the scaffolds— improving physiologic relevance and model capabilities.