Daniël Vos
Postdoctoral Researcher at Delft University of Technology
Delft, South Holland, Netherlands
Summary
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Senior🎓
Top SchoolDaniël Vos is a postdoctoral researcher at TU Delft with 11 years of engineering and research experience focused on making AI more interpretable, robust, and trustworthy. His PhD work combined adversarial learning and optimization to produce interpretable decision tree models for security-critical settings, and he now designs algorithms for safe, high-performing control of AI systems. He has practical software engineering roots from roles at ING, ETH Zürich, and the TU Delft Solar Boat Team, bringing production-minded implementation to theoretical problems. A tinkerer by nature, he founded the TU Delft CTF Team and balances research with hands-on security and systems hacking. Based in Delft, he blends rigorous algorithmic thinking with applied software skills to move interpretable ML from paper to deployed systems.
11 years of coding experience
2 years of employment as a software developer
Voortgezet Wetenschappelijk Onderwijs (VWO) Natuur en Techniek, Voortgezet Wetenschappelijk Onderwijs (VWO) Natuur en Techniek at Grotius College DelftMinor (bachelor) Computer science, Minor (bachelor) Computer science at ETH ZürichMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Delft University of Technology
Dutch, English
Stackoverflow
1reputation
0reached
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Github Skills (16)
decision-tree10
algorithm9
python4
data-privacy4
differential-privacy3
machine-learning3
analytics3
ctf-events1
multimedia1
frontend1
ctf1
docker1
simulator1
java1
react1
Programming languages (3)
Github contributions (5)
tudelft-cda-lab/GROOT
Dec 2020 - Jun 2022
[ICML 2021] A fast algorithm for fitting robust decision trees. http://proceedings.mlr.press/v139/vos21a.html
Contributions:1 release, 6 reviews, 136 commits in 1 year 6 months
decision-treedecision-trees
tudelft-cda-lab/ROCT
Dec 2021 - Mar 2022
Contributions:25 commits, 18 pushes in 2 months
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