Sébastien Bratières
Coordinator
Rome, Lazio, Italy
Summary
👤
Senior🎓
Top SchoolSébastien Bratières is an AI and machine intelligence leader with over a decade of experience translating research-grade probabilistic machine learning into production products for the translation and speech industry. As Director of AI at Translated and Managing Director of Pi School in Rome, he leads applied research, AI engineering and training programs that bridge science, product and market. He holds an Ingénieur degree from Ecole Centrale Paris, an MPhil in Computer Speech and Language Processing and a PhD in Statistical Machine Learning from Cambridge under Zoubin Ghahramani, and spent 16 years across European speech and conversational AI ventures. A seasoned speaker and reviewer for top ML conferences (NIPS, ICLR, ICML, AISTATS), he combines deep academic credentials with hands-on roles from R&D to CTO-level coordination. Less obvious: he consistently operates at the intersection of startups, education and venture ecosystems—shaping AI talent pipelines while shipping commercial ML systems.
12 years of coding experience
15 years of employment as a software developer
Baccalauréat mention Très Bien -- Abitur mit NC 1.0, Baccalauréat mention Très Bien -- Abitur mit NC 1.0 at Lycée Franco-Allemand, BucIngénieur degree (MSc) Engineering, Ingénieur degree (MSc) Engineering at CentraleSupélecPhD Statistical Machine Learning, PhD Statistical Machine Learning at University of Cambridgeclasses préparatoires MPSI MP* (3/2), classes préparatoires MPSI MP* (3/2) at Lycée Hoche
French, Italian, German, English, Spanish
Github Skills (36)
jupyter9
infinite-scroll9
notebook9
ipython9
bandwidth9
jupyter-notebook8
python8
drawing8
mypaint8
brushes8
speedtest8
internet7
wacom7
cuda6
jupyterlab6
Programming languages (2)
Github contributions (5)
sebastien-bratieres/pygpstruct
Aug 2014 - Mar 2018
Contributions:79 commits, 19 pushes, 1 branch in 3 years 8 months
sebastien-bratieres/probability
Dec 2018 - Dec 2018
Probabilistic reasoning and statistical analysis in TensorFlow
Contributions:1 push in 1 day
information-theorypythonprobabilistic-reasoningstatisticalmachine-learning
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