Summary
Levin Brinkmann is a research scientist in Berlin with a decade of experience exploring human-machine co-evolution, currently at the Max Planck Institute for Human Development. He applies reinforcement learning, behavior experimentation, and cultural-evolution methods to design machine-human systems that embrace complexity, diversity, joy, and self-actuation. His background spans academic research (including a visiting PhD stint at MIT Media Lab) and applied data science consulting, delivering proofs-of-concept from AI-augmented creativity to Bayesian attribution and fraud detection. Levin combines physics-trained analytical rigor with hands-on engineering—building scraping pipelines, context-aware language models, and human-in-the-loop interfaces—to bridge theory and deployable systems. He’s driven by understanding how AI both shapes and is shaped by emergent cultural behaviors at scale.
10 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Physics, 1.2, Bachelor’s Degree, Physics, 1.2 at Universität Bielefeld
Physics, Physics at King's College London
Master’s Degree, Physics, 1.4, Master’s Degree, Physics, 1.4 at The University of Göttingen
English, German