About

I am currently a Master's student in Computational Neuroscience at BCCN Berlin. My focus is on local learning rules, self-organization, emergence and open-endedness in complex intelligent systems, motivated by the potential these principles hold for enabling more adaptable and distributed forms of artificial intelligence. This mainly involves exploring mathematical frameworks, developing simulations, and drawing insights from the intricate solutions found in biological systems and studies of artificial life.

Alongside this primary research interest, I enjoy exploring human color perception through an empirical lens. One practical outcome has been the development of mathematically optimized color palettes, maps, and syntax schemes – designed for broad usefulness and accessibility, accounting for the nuances of perceptual science and variations in color vision.

My background includes studies in fine arts, and although my path eventually led back toward science, the practice of close observation and a sensitivity to how things are perceived endure. This way of seeing finds expression in various personal projects: designing a tabletop roleplaying system complete with its own world, reimagining classic card games, exploring olfactory composition, applying principles of biophilic design to lighting environments, and continuing my pursuit of photography.

If any of this resonates with you, whether on the scientific or the creative side, I'd love to hear from you. Feel free to reach out via E-mail or find me on Bluesky.