Yuan Yin
AI Research Scientist at Valeo
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolYuan Yin is an AI research scientist based in Paris with 11 years of experience applying advanced machine learning and deep learning to physical-dynamics problems, particularly weather forecasting. After a PhD and multiple research positions at Sorbonne Université and internships at Inria and Beihang, he moved into industry research at Valeo where he translates neural-network innovations into practical systems. He specializes in adapting DL methods to augment or replace traditional non-ML pipelines, and also works across computer vision and related ML domains. Yuan’s profile combines rigorous academic training with hands-on industrial R&D, enabling him to both publish and deliver deployable models. Less obvious: his trajectory shows rapid transition from academia to applied research roles within the same employer, evidencing an ability to move ideas from theory into production-focused projects.
11 years of coding experience
1 year of employment as a software developer
PhD, PhD at Sorbonne UniversitéMSc Year 1 (M1) - Parisian Master of Research in Computer Science (MPRI), MSc Year 1 (M1) - Parisian Master of Research in Computer Science (MPRI) at Université Paris CitéBachelor of Science (BSc), Bachelor of Science (BSc) at 北京航空航天大学
Chinese, French, English
Github Skills (16)
corona10
climate-change8
q-learning6
reinforcement-learning5
contextual-modulation5
deep-learning5
machine-learning5
dynamical-systems5
gymnasium5
electrical-engineering3
pde3
dynamics3
power-systems3
modeling-tool3
forecasting2
Programming languages (1)
Github contributions (5)
MLIA/.github
Jan 2022 - Jan 2023
Contributions:19 commits, 15 pushes, 1 branch in 11 months
yuan-yin/UNISST
Jul 2019 - Oct 2019
Contributions:9 commits, 7 pushes in 3 months
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