Thomas George is a research scientist and machine learning engineer with 13 years of experience bridging theoretical AI and practical, socially-minded applications. Trained in mathematics, data science and AI at institutions including Mines Paris and MILA, he pursues foundational questions about intelligence while building robust models and embedded systems for environmental and social impact. His background spans backend engineering, test automation and time-series analysis, with notable open-source contributions to Theano (now PyTensor) improving linear algebra and GPU routines. He has led product development from prototype mobile apps to predictive analytics projects and has hands-on experience in scripting large-scale time-series middleware. Based in Paris with Canadian ties, he blends rigorous academic research (PhD-level applied mathematics) with pragmatic engineering and a clear ethical focus away from commercial recommendation systems. An often-overlooked strength is his history of low-level numerical and GPU work that enables reliable, high-performance ML tooling.
13 years of coding experience
Licence, Mathématiques, Physique, Mécanique, Informatique, Licence, Mathématiques, Physique, Mécanique, Informatique at Université Pierre et Marie Curie (Paris VI)
Doctor of Philosophy - PhD, Applied mathematics, Doctor of Philosophy - PhD, Applied mathematics at Mila - Institut québécois d'intelligence artificielle
Master of Science (M.Sc.), Artificial intelligence, Master of Science (M.Sc.), Artificial intelligence at MILA - Montréal Institute for Learning Algorithms
Master of science and executive engineering, Data Science, Master of science and executive engineering, Data Science at Ecole nationale supérieure des Mines de Paris
Erasmus exchange program for my third year of bsc, Mathematics, Erasmus exchange program for my third year of bsc, Mathematics at University of Bristol
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor
Role in this project:
Back-end Developer & Test Automation Engineer
Contributions:42 commits, 10 PRs, 15 comments in 11 months
Contributions summary:Thomas primarily contributed to the Theano library by adding new functionality related to the `solve` operation within the `slinalg` module. They added documentation, implemented type casting improvements, and created and updated unit tests to ensure the correct functionality and data type handling of the `solve` operation. The user's commits included fixes and improvements to the cusolver integration, enhancing the library's linear algebra capabilities. The user also refactored and added tests for the GpuCholesky functionality.
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Thomas George - Research Scientist at Orange Innovation