Summary
Mathis Germa is a Senior Data Scientist based in Toulouse with 10 years of experience translating applied mathematics into production-ready AI solutions across environmental monitoring, cybersecurity, and industrial R&D. He currently designs predictive, geospatial and hydrodynamic models at Bioceanor, blending statistical rigor with engineering practices to deliver actionable water quality insights. Previously he led AI R&D teams and managed cross-functional engineering efforts, adapting research papers into robust ML systems under strict security and deployment constraints. Comfortable from low-level C integrations to TensorFlow pipelines, he iterates quickly with CI/CD, testing and performance automation to ensure reproducibility in production. Known for bridging theory and practice, he often applies mathematical optimization and signal-processing perspectives to non-obvious problems such as vector data fusion and anomaly detection in SIEM data.
9 years of coding experience
6 years of employment as a software developer
M.S. Computer Science (unfinised due to Covid) Computational Perception and Robotics , M.S. Computer Science (unfinised due to Covid) Computational Perception and Robotics at Georgia Institute of Technology
Engineer's degree Applied mathematics & Computer Science, Engineer's degree Applied mathematics & Computer Science at ENSEEIHT
CPGE MPSI-MP, CPGE MPSI-MP at Lycée Blaise Pascal
French, English