In Silico Evolution of Sequential Transcription Logic

Evolution of complexity through steppingstones. Artwork courtesy of Kevin Hong.

In this Master’s thesis project I explored how complex functions can evolve in biological systems using a broad range of strategies in the realm of in silico evolution, such as multi-objective optimization using evolutionary niches or generic steppingstones.

I have been supervised by Florian Gartner and Erwin Frey, first as a Master’s student and later as research assistant at the Frey Group for Statistical and Biological Physics at LMU Munich and the Arnold Sommerfeld Center for Theoretical Physics.

Mario Gaimann
Mario Gaimann
Doctoral Researcher

My research interests include artificial intelligence, reservoir computing and dynamical systems.