Switzerland
I turn scientific breakthroughs into ventures that work. +25 years building companies at the intersection of advanced mathematics, AI, and life sciences. Trained under Nobel Laureate Ilya Prigogine to think about complex systems with the rigour they demand — then spent two decades applying that rigour to real-world problems, from drug discovery to climate intelligence. I am the originator of the Graph Vector Field framework, unifying geometric deep learning with vector field theory for multimodal risk assessment. My conviction: the next generation of AI must be grounded in geometry and topology, not just statistics. I architect AI systems. I build ventures from science. I close the gap between a brilliant result and a viable product.