Aachen, North Rhine-Westphalia, Germany
I am a Supply Chain and Digital Transformation leader with over 7 years of experience driving planning innovation within the semiconductor industry. Currently, I manage Business and Demand Planning activities for NXP's Secure Car Access portfolio while managing a Supply Chain Innovation team focused on AI, Agentic AI, advanced analytics, and next-generation planning solutions. My expertise lies at the intersection of semiconductor supply chains, business planning, artificial intelligence, stochastic optimization, and digital transformation. Throughout my career, I have successfully led global cross-functional programs, developed enterprise-scale planning solutions, and driven adoption of advanced decision-support systems across international organizations. Before joining NXP, I completed a PhD at KIT in collaboration with Robert Bosch, focusing on machine learning applications in semiconductor manufacturing and production scheduling optimization. I am passionate about helping organizations make smarter decisions through data, AI, and advanced planning technologies.
- Business and Demand Planning of NXP´s Secure Car Access Portfolio. - Supply Chain Innovation Team Lead, executing various innovation projects around AI and Agentic AI.
- Led the design and deployment of enterprise planning solutions supporting the global wafer planning organization across multiple semiconductor manufacturing sites. - Directed global rollout of advanced wafer planning capabilities, enabling standardized planning processes and improved decision quality across international planning teams. - Wafer Planning for 140nm portfolio - Built and lead a Supply Chain Innovation team delivering AI- and optimization-driven solutions for planning challenges, accelerating digital transformation across the organization.
- Project Lead for Integrated Business Planning - Coordination of a cross-functional global project team - Workshop Organization and moderation
- Cycle Time Estimation in Semiconductor Wafer Fabrication using a concatenated Machine Learning approach. - Initiation, set-up and acquisition of a European Research project for Deep Reinforcement Learning for Production Scheduling.
Stochastic lot sizing optimization of backend processes for the semiconductor industry
Working Student in Purchasing & Content Management Department
Logistical Inbound Process Analysis