Alexandre Maraval is a research engineer and mathematician with eight years of experience applying machine learning and quantitative methods across industry research and finance. He has progressed from data science roles in asset management to senior research engineering positions at Huawei UK and now leads research efforts at Native, combining theoretical rigor with production-minded implementation. Trained at EPFL and Imperial College London in mathematics, financial mathematics, and ML, he bridges advanced modelling, signal processing and practical deployment. Colleagues describe him as someone who translates abstract math into robust algorithms—often surfacing elegant, less-obvious probabilistic insights that improve model reliability in real-world systems.
9 years of coding experience
7 years of employment as a software developer
Master of Science (MSc) Computer Science and Machine Learning, Master of Science (MSc) Computer Science and Machine Learning at Imperial College London
Bachelor's degree Mathématiques, Bachelor's degree Mathématiques at EPFL
Contributions:28 PRs, 82 pushes, 35 branches in 6 months
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