Xingchen Ma
Senior Applied Scientist at Amazon Web Services (AWS)
Berlin, Germany
Summary
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Senior🎓
Top SchoolXingchen 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 LeuvenMaster's degree, Pattern Recognition, Master's degree, Pattern Recognition at Beihang University
Github Skills (72)
huggingface10
forecast10
magit10
forecasting10
time-series-forecasting10
aws10
emacs9
stan9
python9
sagemaker9
bayesian-data-analysis9
mxnet9
deep-learning9
amazon-sagemaker9
bayesian-statistics9
Programming languages (9)
Github contributions (5)
maxc01/addtree
Jan 2020 - Nov 2020
Contributions:111 commits, 19 pushes, 1 comment in 10 months
maxc01/sdcv
Jul 2019 - May 2025
Contributions:7 pushes, 1 branch in 5 years 11 months
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