Summary
Clement Wang is a data scientist based in Paris with 8 years of experience applying mathematical rigor and modern ML to healthcare, computer vision, and product analytics. Trained at CentraleSupélec and ENS Paris-Saclay (MVA), he has translated state-of-the-art research into production: from self-supervised transformers on sleep EEGs that match full-data performance with 95% fewer labels to submillimeter surgical instrument tracking and cost-optimized diffusion-model photo generation. His background spans algorithm design, explainable models (SHAP/LIME/Anchor), MLOps on AWS, and few-shot/foundation model adaptation, enabling both research-grade results and deployable systems. Known for condensing slow prototypes into fast, accurate pipelines, he pairs strong theoretical foundations with hands-on cloud and edge engineering.
8 years of coding experience
2 years of employment as a software developer
Master MVA - Maths vision learning Applied mathematics, Master MVA - Maths vision learning Applied mathematics at ENS Paris-Saclay
Master of Science - MS Computer Science, Master of Science - MS Computer Science at CentraleSupélec
Mathematics Physics Computer Science, Mathematics Physics Computer Science at Lycée Henri IV
Master of Science - MS, Master of Science - MS at Université Paris-Saclay
French, English, Chinese