Summary
Etienne Gartner is a senior data scientist based in the UK with 11 years of experience translating research-grade machine learning into production systems, currently building credit risk, sales forecasting, and fraud-detection models at Yoii Inc. His background blends computational neuroscience research—where he authored a first-author paper and explored GNNs as models of macroscopic brain activity—with hands-on engineering in robotics, reinforcement learning, and large-scale noisy imaging analysis. Comfortable across Python, PyTorch, scikit-learn and C/C++, he has moved models from prototype to deployment and taught deep learning in an intensive Neuromatch summer school. Notably, his work bridges physics-inspired methods and ML to reveal novel insights in brain dynamics, demonstrating a rare mix of domain-driven research and production ML delivery.
11 years of coding experience
4 years of employment as a software developer
Baccalauréat, graduated with honors (magna cum laude), Baccalauréat, graduated with honors (magna cum laude) at Raoul follereau Highschool
Associate's degree, Network and System Administration/Administrator, Ranked 3rd, Associate's degree, Network and System Administration/Administrator, Ranked 3rd at IUT de Belfort-Montbéliard
Doctor of Philosophy - PhD, Computational Neuroscience, Doctor of Philosophy - PhD, Computational Neuroscience at Hong Kong Baptist University
Master of Science - MS, Computer Science Engineering, Master of Science - MS, Computer Science Engineering at Université de Technologie de Belfort-Montbéliard
French, English, Chinese, Spanish, Japanese