I help turn research questions into working prototypes for universities, research labs, and organizations.
I studied Interactive Media Design (B.A.) at the University of Applied Sciences Darmstadt, where I began working with machine learning and designing for entangled, complex, and interactive systems. In my master's in Data-Driven Design at the University of Applied Sciences Utrecht, I went deeper into data science, critical data studies, and building self-learning systems.
Driven by curiosity, I prototype, experiment, and play to create new forms of interactive systems, from intelligent, self-learning environments to human-machine symbiosis. My work ranges from theoretical research on designing for complex systems, combining actor-network theory with engineering meta-interaction models, to applied studies and experiments like linking brain-computer interfaces with reinforcement learning agents into self-learning feedback loops so that person and system learn to understand individual stress patterns together.
Some of my work has been internationally recognized (including by a NASA laboratory), exhibited, and awarded. In the past, I have taught creative coding and the creative use of technology at the University of Applied Sciences Darmstadt and the University of Applied Sciences Utrecht and have given guest lectures and talks at institutions including TU Delft and ThingsCon.
Currently, I work at the University of Art and Design Offenbach and the Offenbach Institute for Mobility Design, turning research into working prototypes. I co-founded the Immersity Lab, funded by the Hessian Ministry for Digitalization and Innovation, where I lead the technical R&D: applying machine learning to spatial analysis, building data pipelines and infrastructure, and automating processes to help design better spaces.