Derck PrinzhornI am an MSc Artificial Intelligence student at the University of Amsterdam (UvA) and a Machine Learning architect at the Dutch Police. My interests are broad, but I tend to focus on high-risk AI applications. This includes topics such as responsible AI, AI safety, conformal prediction, medical AI, and AI for education. In 2020 I started my Bachelor's in AI at the UvA. Next to studying, I worked as a Teaching Assistant at the UvA, as a software engineer at LeerLevels and became active in our robotics student team: Dutch Nao Team. My bachelor thesis was about uncertainty quantification in which I benchmarked various adaptive conformal prediction methods for time series. Email | GitHub | Google Scholar | LinkedIn | CV |
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Highlights / News |
ResearchI'm interested in AI safety, conformal prediction, medical AI and edtech. |
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Conformal time series decomposition with component-wise exchangeabilityDerck W. E. Prinzhorn, Thijmen Nijdam, Putri A. van der Linden, Alexander Timans COPA, 2024 arxiv / code / We present a novel use of conformal prediction for time series forecasting that incorporates time series decomposition. |
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Reproducibility study of FairACGijs de Jong, Macha J. Meijer, Derck W. E. Prinzhorn , Harold Ruiter TMLR, 2024 paper / code / This work reproduces Guo et al. (2023) on “Fair Attribute Completion on Graph with Missing Attributes,” confirming its claims, generalizability, and fairness improvements, with a refactored codebase. |
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Design and source code from Jon Barron's website |