Andre Vauvelle
Quantitative Researcher
Denmark
Summary
👤
Senior🎓
Top SchoolAndre Vauvelle is a quantitative researcher with eight years of experience at the intersection of machine learning, healthcare and quantitative finance, currently pursuing a PhD in Machine Learning for Healthcare at UCL funded by BenevolentAI. He has applied neural-network research and quantitative methods across industry roles from BlackRock’s FIGA research team to energy analytics at Dexter Energy and now Alipes ApS. His background blends rigorous engineering training (MEng, Oxford) with practical data-science internships in public health and pharma-focused AI, giving him a rare ability to translate complex models into domain-relevant solutions. Colleagues describe him as comfortable in “quandaries” — drawn to ambiguous problems where probabilistic thinking and experimentation pay off. Based in London with ties to Denmark, he combines academic depth with hands-on product-facing research.
8 years of coding experience
4 years of employment as a software developer
Master of Engineering (MEng), Engineering Science, Master of Engineering (MEng), Engineering Science at University of OxfordScarborough Sixth FormUniversity College London
Github Skills (24)
dependency-management9
package9
icu9
cli9
rust8
modular-architecture8
monorepo8
developer-tools8
python8
databases8
devops8
jupyter7
static-code-analysis7
visualization7
data-visualisation7
Programming languages (3)
Github contributions (5)
andre-vauvelle/hpc-tutorial
Jan 2021 - Jan 2022
Contributions:34 commits, 25 pushes, 1 branch in 1 year 1 month
andre-vauvelle/dotfiles
Jan 2022 - Feb 2026
Contributions:21 pushes, 2 branches in 4 years 1 month
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