About
Agentic product engineer and interdisciplinary philosopher of science. AI research and consulting via the SciPhi Initiative. Co-organizer, Nederland Philosophy Club.
Education
- Ph.D. from the Graduate School of Systemic Neurosciences, LMU Munich Dissertation Knowledge Transfer in Cognitive Systems Theory — knowledge as control via structure mapping, using cybernetics to explain neural networks as error-controlled regulators.
- Masters from the Munich Center for Mathematical Philosophy, LMU Munich
Experience
- Appy.AI on the core team developing the 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.
- Cray deep-learning internship.
- Building and experimentation with agentic tools and new models Devin, Claude Code, Cursor, Grok Bot, Typesafe's Jev, DSPy, RLMs, etc.
Projects
From the SciPhi Initiative
- fungi_fortress (generative game harness)
- fungi_chromatic (its Game Boy Color cartridge)
- Structural Idealism
- scipfs
Agent = model + harness
Click the print to set a target. With the harness off, the model is a brain in a vat. Plan refines the goal estimate and predicts drift. Tools give live feedback for course correction. Memory keeps unfinished goals when you click somewhere new, and the verifier checks arrival.
<A>- Agent position
<a>- Self estimate
[*]- Latest goal you clicked
[g]- Estimate for the goal being pursued
[+]- Earlier unfinished goal
Shaded trails show actual paths. Dots trace estimates. Symbols sharing a cell take turns.
The dotted ring follows the agent’s current goal estimate. The latest click stays marked after arrival.
Send a task to the right specialist
Play the coordinator: match each task to a specialist’s role. Drag a task, or select a specialist from its menu. “Match next task” shows a simple automatic assignment. This is a sorting game: it checks predefined categories, without running agents or testing their work.