Driving performance innovation through biomechanics, machine learning, and applied sport science - personally trusted by elite global sporting organisations across MLB, NBA, and EPL.

Engineering Elite Performance

About

🧠 Built predictive biomechanical models used in professional baseball

🤝 Proven cross-disciplinary collaboration, aligning sport science, coaching, and engineering

✅ End-to-end project leadership across elite sport environments (NBA, MLB, EPL, Bundesliga)

🔧 Hands-on technical engineering expertise with motion capture, ML pipelines, and performance tools

📈 Internationally recognised with multiple PhD offers and sport science conference presentations

I’ve always been driven by one goal: bridging the gap between science and sport to help athletes perform at their peak. With a background in biomechanics, machine learning, and applied sport science, I build tools that translate complex motion data into clear, actionable insights.

Whether I’m in the field deploying biomechanical systems or refining predictive models at my desk, my focus remains the same: delivering meaningful - and measurable - impact for athletes, coaches, and performance teams. Because true innovation happens when rigorous science meets real-world practicality.

Turning Research into Results

A closer look at projects I’ve developed to translate biomechanics into performance outcomes.

A Professional Pitching Blueprint

Developed a machine learning-based biomechanical model using 10,000+ in-game MLB pitches to identify key movement patterns tied to pitch velocity and injury risk.

Built with custom Python scripts and motion capture data from in-game footage.

Developed using a random forest regression model to identify key kinematic drivers of ball velocity.

Presented at the DBV and SABR and used by MLB performance departments to inform athlete development.

Football Micro-Movements

Developed a cluster modelling methodology using biomechanical data from professional football players to identify player-specific movement patterns and generate targeted recommendations for performance improvement.

Collected and analysed biomechanical data from one-on-one drills, lateral jumps, and change-of-direction tests in EPL, MLS, and Bundesliga clubs

Used k-means clustering to group athletes by movement profiles and identify underlying performance signatures

Delivered individualized, data-driven recommendations to coaches for targeted physical and technical development

  • End-to-End Performance Tech Deployment

    I have led the deployment of multiple million dollar implementations of athlete performance technology. Ensuring athletes and teams get reliable, impactful solutions.

  • Applied Sport Science

    Bridging scientific rigour with practical application by translating complex biomechanical data into clear, goals to improve overall performance.

  • Predictive Data Modelling

    I develop predictive models and data-driven solutions that uncover key movement patterns, empowering coaches and athletes with actionable information.

  • Strategic Leadership & Cross-Disciplinary Collaboration

    I drive high-performing teams and foster partnerships across sport science, engineering, and coaching to deliver innovative, athlete-centred solutions.