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.
10 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