Physicist by training, now working across machine intelligence, quantum computing, and digital-asset infrastructure. I hold a Diplom Physik from Göttingen and carried out DFG-funded doctoral research in stellar astrophysics there, with observational work connected to European Southern Observatory facilities in Chile.
My independent research lives in two public projects: QMI Lab, where I study quantum machine learning, representation, and world models, and AstroLLM, an open-source domain-specialized language model for astronomy. An earlier thread goes back to the Max Planck Institute for Dynamics and Self-Organization, where I worked on Q-learning and Lagrangian-mechanics simulations for artificial-muscle systems — work that now looks like early reinforcement learning, before the deep-RL era gave the field its current vocabulary.
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.
Coming soon
A multi-framework platform for quantum-circuit development and research-grade artifact hosting. Details forthcoming.
The planning baseline for Q-Day compressed in March 2026, and the question for institutional digital-asset custody is no longer when, but whether the cryptography can be migrate...
QMI Lab is an independent research lab studying intelligence, learning, and representation across classical and quantum computation — three pillars at three time horizons, one q...
AstroLLM is an open-source, retrieval-grounded language model for astronomy and astrophysics — designed around the workflows researchers actually use rather than the benchmarks ...
