Mathieu Carrière is a researcher with a PhD in Computational Topology and Machine Learning and over a decade of experience applying Topological Data Analysis to real-world problems. Based at Inria Sophia Antipolis after a postdoc at Columbia’s Systems Biology Department, he bridges rigorous theory and applied ML, especially where geometric and topological methods reveal structure in complex data. Open to part-time consulting (remote or on the French Riviera), he helps teams translate advanced TDA techniques into actionable insights for scientific and industrial use. His background combines engineering training from École Centrale Paris and ENS Cachan with hands-on research producing reproducible methods for data-driven discovery.
10 years of coding experience
2 years of employment as a software developer
Engineer’s Degree, Computational and Applied Mathematics, Engineer’s Degree, Computational and Applied Mathematics at Ecole Centrale Paris
Master’s Degree, Machine Learning and Computer Vision, Master’s Degree, Machine Learning and Computer Vision at Ecole Normale Superieure de Cachan
Doctor of Philosophy - PhD, Computational Topology and Machine Learning, Doctor of Philosophy - PhD, Computational Topology and Machine Learning at Inria Saclay
The GUDHI library is a generic open source C++ library, with a Python interface, for Topological Data Analysis (TDA) and Higher Dimensional Geometry Understanding.
Contributions:120 commits, 188 pushes, 97 branches in 2 years 2 months
A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences libraries.
Contributions:19 commits, 105 pushes, 10 branches in 2 years 3 months
seabornpythondata-analysistdadata-science
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Mathieu Carrière - Researcher at Inria Sophia Antipolis