Imaginary Biolabs
AI infrastructure for biomolecule engineering, integrating standardized data pipelines, curated benchmarks, and machine learning tooling to enable computational design of proteins and molecular systems.

Founder, Imaginary Biolabs
Building AI infrastructure for biological design.
Munich, Germany
Building AI-native infrastructure for molecular machine learning, biomolecule design, and standardized model development workflows.
Setting up a wet-lab validation platform for AI-generated molecule designs to strengthen the Bavarian ecosystem for biotech founders.
AI infrastructure for biomolecule engineering, integrating standardized data pipelines, curated benchmarks, and machine learning tooling to enable computational design of proteins and molecular systems.
A modular ecosystem of personal and business productivity apps designed to integrate everyday tools into a coherent, interoperable system.
Microfluidic sorting technology implemented on an FPGA, for high-throughput droplet sorting on standard fluorescence microscopy systems.
Open to conversations about AI infrastructure for biology, research collaborations, and technical partnerships.