I am a Mathematician with additional background in Cognitive Psychology and did my PhD research about Cognitive Autonomous Systems at a Control Theory lab, where I was also teaching Control Systems Theory. As part of my research, I deepened my knowledge and skills in Machine Learning (in particular learning of world models and inference of optimal decision-making, i.e. model-based Reinforcement Learning), as well as Nonlinear and Discrete Optimization, which I have continued in my subsequent experience as an Industrial Data Scientist.I also have a strong interest in system-theoretic concepts within Psychology/Neuroscience and Social Sciences. Subsuming my learning and working journey: I am fascinated by the intersection of mathematical-, technological- and biological/social systems.