MAS Emergence Safety
Formalized MAS emergence misalignment; proposed safety mitigation strategies.
Welcome.
I am a Machine Learning Expert, Data Scientist, and Researcher specializing in areas including Data Augmentation & Synthesis, Classification & Segmentation, Anomaly & OOD Detection, and Multi-Agent Systems.
This portfolio offers a comprehensive overview of my academic background, professional journey, research contributions, and technical expertise.
Explore the sections detailing my research, teaching experience, key projects, and publications to gain deeper insights into my work. You can navigate through the site using the top menu for detailed information on specific areas.
Formalized MAS emergence misalignment; proposed safety mitigation strategies.
Aquarium: Open-source MARL environment for predator-prey studies.
Managed LMU chair IT: Kubernetes, CI/CD, automation (2018-2023).
Binary subsegment presorting improves noisy primate sound classification.
Artificial chemistry networks develop predictive models via surprise minimization.
VoronoiPatches improves CNN robustness via non-linear recombination augmentation.
Self-replicating networks collaborate forming higher-level Organism Networks with emergent functionalities.
Supervised MSP: teams built Android apps (Java/Kotlin) using agile.