Summary
Christian Miessen is an AI-driven product manager and former software engineer with 11 years of experience applying advanced mathematics and high-performance computing to real-world optimization and forecasting problems. With a PhD in computational materials science from RWTH Aachen, he built large-scale, ccNUMA-optimized simulation software for grain growth and open-sourced the GraGLeS solver, demonstrating deep expertise in scalable scientific code. After nearly eight years developing supply-chain optimization software at INFORM, he now leads Demand AI to turn forecasts into business-aware insights by combining semantic models with time-series expertise. Christian bridges academia and industry, translating complex numerical methods into usable products that keep planners in the loop as informed decision-makers. Based in Aachen, he brings a rare mix of theoretical rigor, hands-on software craftsmanship, and a focus on plausibility and context in AI-driven forecasting.
11 years of coding experience
Promotion (Dr. rer. nat), Computational Materials Science, Promotion (Dr. rer. nat), Computational Materials Science at RWTH Aachen University
Dutch, French, English