I build data pipelines for sports science, combining biomechanics, machine learning and computer vision.
Tennis Ball Tracking System | Synergy Tennis, Sri Lanka (2025)
- Multi-camera 3D court reconstruction
- 90.3% F1-score, <10 cm spatial accuracy
- Real-time bounce detection and tactical visualization
- Deployed in match conditions
Sports Movement Asymmetry Analysis | M2S Laboratory, Rennes 2 (2025)
- Full pipeline from Qualisys capture to OpenSim inverse kinematics
- Bilateral asymmetry quantification (ROM, NSI, cross-correlation)
- Force plate data processing (AMTI + Kistler, 1000 Hz)
Markerless Boxing Velocity Estimation | REVEA Program, M2S Laboratory (2025)
- 3D punch velocity analysis using Pose2Sim
- Multi-camera calibration and triangulation pipeline
- Python-based signal processing and peak detection
Biomechanics: 3D motion capture (markerless, marker-based, IMU), OpenSim, Qualisys, Force platforms
Data Science: Python, R, Signal processing, Machine Learning
Computer Vision: OpenCV, YOLO, Pose2Sim, DeepLabCut, Multi-camera calibration
Tools: Git, R Shiny, MySQL
- MSc Digital Sciences and Sports (High Honors): Analysis, Modelisation & Simulation of Human Motion
- MSc Sports Sciences (Honors): Training Optimization
- 10+ years as Performance Tennis Coach (Academies, ITF juniors)
- 📧 jeremy.birba@outlook.fr
- 📍 Based in France | Singapore