Physicist by training, currently working on machine intelligence and quantum computing. Diplom Physik and DFG-funded doctoral research in stellar astrophysics at Göttingen. Earlier, Q-learning and Lagrangian-mechanics work on artificial muscle systems at the Max Planck Institute for Dynamics and Self-Organization — early reinforcement-learning research, predating the deep-RL era and the rise of physics-informed machine learning. Today, building QMI Lab — independent research on quantum machine learning and world models — and AstroLLM, a domain-specialized language model for astronomy.
Active development
Retrieval-grounded, tool-integrated language model family for astronomy. Differentiated by deep integration with NASA ADS, SIMBAD, and the NASA Exoplanet Archive — and by an evaluation suite that tests research workflow competence, not knowledge recall.
In preparation
Independent research lab studying intelligence, learning, and representation across classical and quantum computation. Three pillars: foundations of machine intelligence, quantum machine intelligence, and quantum world models.
Active development
Developer platform for quantum computing — multi-framework, reproducibility-first, with Git-backed collaboration and sandboxed execution. Live at qubithub.co.
The first long-form posts arrive in 2026 — quantum machine learning, scientific AI, and the physics × ML interface. The writing index tracks them as they ship.
