About Experience Publications

Derck Prinzhorn

Derck Prinzhorn

AI Safety & Security

About

I'm an MSc AI student at the University of Amsterdam, currently doing my thesis on AI control at Max Planck Institute for Intelligent Systems, supervised by Maksym Andriushchenko.

My research focuses on AI safety and security, with particular emphasis on control, monitoring, and oversight of increasingly capable models. I also run Prinzhorn Solutions, where I help organizations understand and manage risks associated with adopting AI systems.

Previously, I worked as a Research Engineer at Aithos on pluralistic alignment, as AI Architect at the Dutch Police designing secure AI architectures, and co-founded Wisr (an EdTech startup). I graduated cum laude from my bachelor's, receiving the Amsterdam AI Thesis Award for my work on uncertainty quantification.

Experience

Max Planck Institute

Research Intern | Jan 2026 – present

Research on AI control under supervision of Maksym Andriushchenko.

Prinzhorn Solutions

Founder | Apr 2025 – present

Helping companies understand and manage risks associated with adopting AI systems.

Aithos

Research Engineer | Apr 2025 – Jan 2026

Worked on evals for AI value systems and moral competence.

Wisr

Co-Founder | Sep 2024 – Oct 2025

Worked on a startup helping teachers save time with AI grading.

Dutch Police

AI Architect | Apr 2023 – Apr 2025

Defined reference architectures for AI, MLOps, and AI security.

Education

University of Amsterdam

MSc Artificial Intelligence | Sep 2023 – present

Thesis on AI control at Max Planck Institute.

University of Amsterdam

BSc Artificial Intelligence | Sep 2020 – Jun 2023

Graduated cum laude. Amsterdam AI Thesis Award.

Publications

HIVE

ICCV 2025 Workshop

HIVE: A Hyperbolic Interactive Visualization Explorer for Representation Learning

T. Nijdam, D. Prinzhorn, J. de Heus, T. Brouwer

Morpheus

arXiv 2025

Morpheus: Benchmarking Physical Reasoning of Video Generative Models

C. Zhang, D. Cherniavskii, [...], D. Prinzhorn, et al.

Conformal TSD

COPA 2024

Conformal Time Series Decomposition with Component-wise Exchangeability

D. Prinzhorn, T. Nijdam, P. van der Linden, A. Timans

FairAC

TMLR 2024

Reproducibility Study of FairAC

G. de Jong, M. Meijer, D. Prinzhorn, H. Ruiter

Highlights / News

January 2026

Started my thesis research on AI control at the Max Planck Institute for Intelligent Systems and ELLIS Institute Tübingen, supervised by Maksym Andriushchenko.

July 2025

Our paper HIVE: A Hyperbolic Interactive Visualization Explorer for Representation Learning was accepted at the Beyond Euclidean Workshop at ICCV 2025.

April 2025

Joined Aithos to work on pluralistic alignment and moral competence evals. Also founded Prinzhorn Solutions for AI consulting.

December 2024

Presented our reproduction of FairAC as a poster at NeurIPS 2024.

September 2024

Co-founded Wisr, an EdTech startup helping teachers save time with AI grading. Also visited the COPA conference in Milan to present our paper on conformal time series decomposition.

July 2024

Joined the Supervised Program for Alignment Research (SPAR), working on AI control with Aryan Bhatt from Redwood Research.

May 2024

Our reproducibility paper on FairAC accepted at TMLR. Our paper on conformal time series decomposition accepted at COPA.

November 2023

Received the AmsterdamAI thesis award for my bachelor thesis on uncertainty quantification in time series forecasting.

September 2023

Started my MSc in Artificial Intelligence at the University of Amsterdam.