Dr. Richard Röhlig

Im 21. Jahrhundert ist Kreativität die Schlüsselkompetenz für Innovation und Problemlösung. Das Kreativinstitut setzt sich dafür ein, das kreative Potenzial in der Gesellschaft zu fördern und zu erweitern. Das Kreativinstitut möchte Menschen jeden Alters dazu befähigen, ihr kreatives Potenzial zu entfalten und die Herausforderungen der Zukunft innovativ zu meistern.

Plant Based Ingredients for Food, Pharma, Cosmetics Strategic Development of R&D Department Managing a Highly Skilled and Motivated Team (10+) Leading the Worlée Food Technology Center Product- and Process-Development Cross-Category (Savoury & Spices, Sweets & Bakery, Beverages) Leading Continuous Improvement Process Initiatives Association Work and University Research Networking

Part of PepsiCo's Food Safety & Quality organization working as Process Authority for Western Europe cross category (Juice, Tea, Dairy, Snacks, Grains & Grains). Qualification and validation of processing and filling equipment, as well as engineering review of new technology platforms to ensure microbiologically safe and high quality finished products.

R&D quality assurance subject matter expert for thermal and non-thermal processing, aseptic technology, and ESL/high-hygiene filling with a strong focus on juices, tea, and dairy. Enabling product innovation by delivering food safety assessments of manufacturing processes and sites, as well as processing and filling equipment.

Project Lead & Manufacturing Support; Baby Food, Healthcare Nutrition, Culinary, Coffee; Aseptic Processing, Retort & Post-Pasteurisation, Spray- & Rollerdrying; Factory Thermal Processing Specialist; Legal Compliance, Product Declaration and Release Criteria; Supplier Audits (ISO 9001/FSSC 22000); Sensory Specifications & Evaluations; Innovation Project Management & Product Development; Recipe, Ingredients, Product Portfolio Management; Continuous Improvement (LSS), Problem Solving and Training

Personnel Responsibility, Supervision of Students and Lab Trainings Development and Validation of Analytical Methods for GC-MSD/FID and NIRS Identification and Quantification of Constituents in Grains Data Mining by Uni- and Multivariate Statistical Analysis

Metabolite Profiling of Maize: Development and Validation of Methods for GC-MSD/FID and NIRS for the Identification and Quantification of Constituents in Grains, Data Mining by Uni- and Multivariate Statistical Analysis