Biography
Christian leads the Interfaces research programme at ML@CL. His work develops interpretable, self-sustaining multi-agent AI systems for real-world deployment, building on data-oriented architectures and the AutoAI project. Clinical validation includes the aICU partnership with Karolinska Institutet.
Links
Related Publications
Machine Learning Systems: A Survey from a Data-Oriented Perspective
ACM Computing Surveys, :
Prompt Variability Effects on LLM Code Generation
Third International Workshop on Large Language Models for Code (LLM4Code 2026), co-located with ICSE 2026, :
LLM Performance for Code Generation on Noisy Tasks
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Self-sustaining software systems (S4): Towards improved interpretability and adaptation
Proceedings of the 1st International Workshop on New Trends in Software Engineering, :
The Systems Engineering Approach in Times of Large Language Models
58th Hawaii International Conference on System Sciences (HICSS-58), :
Requirements are All You Need: The Final Frontier for End-User Software Engineering
ACM Transactions on Software Engineering and Methodology, :
An Empirical Evaluation of Flow Based Programming in the Machine Learning Deployment Context
1st International Conference on AI Engineering – Software Engineering for AI, :
Towards Better Data Discovery and Collection with Flow-Based Programming
Neurips Data-Centric AI Workshop (DCAI), :