Interdisciplinary philosopher of science. Ph.D., GSN / LMU Munich; Masters from the Munich Center for Mathematical Philosophy. Dissertation: Knowledge Transfer in Cognitive Systems Theory — knowledge as control via structure mapping; using cybernetics to explain neural networks as error-controlled regulators. Cray deep-learning internship.
Spent the last year at Appy.AI working on a multi-agent harness for Violet — an AI Chief of Staff that routes specialist agents with scoped context for real workflows. Prompts, context, orchestration, steering, agent standards (skills), evals and testing.
Significant experience and experimentation with agentic tools and new models: Devin, Claude Code, Cursor, Grok Bot, Typesafe's Jev, DSPy, etc.
Projects from the SciPhi Initiative: Structural Idealism, scipfs, fungi fortress. Co-organizer, Nederland Philosophy Club.
co-vibed with Grok Bot for fun · math & concepts not fully validated
Same "model" both sides. Left: no world access (vat). Right: tools, memory, verifier, stop — ecological / embodied / embedded control. Click a pane to drop a goal. Toggle harness parts.
Toy model of multi-agent orchestration (not structure mapping): one director assigns each task to one specialist. Specialists do not share write context. Matching type → task lands; mismatch → negative transfer (wrong tools / context). Drag, or press "route by type."