In short

I study and build tools for human motion analysis. I trained at Fondazione Policlinico Universitario Campus Bio-Medico in Rome, collaborating with the Orthopedics research unit, and I am continuing my path at Columbia University in New York. My interests span wearable sensors, computer-vision tracking, and practical workflows that clinicians and coaches can use without complex setups.

I enjoy turning ideas into working prototypes, sharing code and methods, and validating them with rigorous experiments. My goal is simple: accurate, affordable, and reproducible biomechanics.

First journal publication

My first journal publication

I published a paper on low-cost, six-degree-of-freedom freehand 3D ultrasound using a single camera and ArUco markers. The work shows how careful calibration, robust pose estimation, and simple hardware can enable reliable volumetric reconstructions for orthopedic applications. It reflects my approach: leverage computer vision and thoughtful validation to make clinical tools more accessible.

Democratizing biomechanics

Democratizing biomechanics

High-quality motion analysis should not require expensive labs. I work on open, modular pipelines that combine consumer-grade cameras, IMUs, and robust algorithms. By publishing code, datasets, and clear procedures, I aim to help labs and clinics adopt reliable protocols with minimal overhead and maximum transparency.

Current trends

Current trends

I am exploring low-cost kinematics with marker-assisted markerless tracking, kinemtic protocols for upper-limb joints, and validation frameworks that report not only accuracy but also repeatability and setup time. Recent projects include scapular tracking with ArUco and simplified IMU workflows for cervical range of motion.