Senior Applied Scientist at Amazon Web Services (AWS)
Berlin, Germany
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Summary
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Senior
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Top School
Xingchen Ma is a Senior Applied Scientist based in Berlin with 12 years of experience bridging academic research and production ML at AWS. A PhD candidate from KU Leuven specializing in Bayesian optimization and uncertainty estimation, he translates probabilistic methods into scalable solutions for real-world systems. At AWS he progressed from Applied Scientist to Senior Applied Scientist, focusing on deploying robust Bayesian statistical methods in cloud environments. His background in pattern recognition and software engineering from Beihang University gives him strong foundations in both theory and engineering. Colleagues appreciate his ability to turn complex uncertainty quantification ideas into practical, production-ready features. He combines deep research rigor with pragmatic product-minded execution, often uncovering subtle failure modes that improve model reliability.
12 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Bayesian Optimization, Doctor of Philosophy - PhD, Machine Learning, Bayesian Optimization at KU Leuven
Master's degree, Pattern Recognition, Master's degree, Pattern Recognition at Beihang University
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Xingchen Ma - Senior Applied Scientist at Amazon Web Services (AWS)