AI Research · Software · Physics
Physicist turned independent AI/ML researcher and software developer based in Göttingen, Germany. I work at the intersection of information theory, interpretable deep learning, and computational neuroscience — building tools that help us understand how neural networks represent and transform knowledge.
Current work
An international research collaboration advancing AI safety through mechanistic interpretability — developing principled methods to understand and verify the internal computations of neural networks.
AI Safety Interpretability
Guest researcher at the Max Planck Institute for Dynamics and Self-Organization — collaborating on information-theoretic foundations of learning in biological and artificial neural networks.
AI Research Neuroscience Info Theory
Germany's leading app for teachers — a comprehensive desktop and mobile solution for managing grades, seating plans, and student records, built for the realities of everyday classroom work.
App development Ed Tech iOS
A novel, intelligent and educative AI-powered children's toy — combining playful interaction with adaptive learning to spark curiosity and creativity.
AI EdTech HardwareResearch
Background
E-Mail: [email protected]
Verantwortlich für den Inhalt nach § 55 Abs. 2 RStV:
Dr. David Alexander Ehrlich