Christoph Bayer

PhD student at Henkel AG& Co. KGaA | Driving innovation by transforming complex science into real-world applications

Düsseldorf, North Rhine-Westphalia, Germany

About

Experience

  • R&D Consumer Brands at Henkel
    Jul 2022 - Present · 4 yrs

    Doctoral Researcher (Industrial PhD, Bioprocessing & Enzyme Systems) Research Assistant (Dual M.Eng. & B.Eng., Experimental Process Development) - Developed and analyzed peptide-lipase sytsems, including protein engineering and synthesis of lipase-peptide conjugates to study structure-function relationships - Designed and executed pilot-scale experiments to evaluate performance of enzyme systems - Built and implemented experimental setups simulating an automatic dosing system in dishwashers - Investigated and optimized rinsing and drying processes in automatic dishwashers - Coordinated experimental activities and collaborated with cross-functional teams to drive project progress - Supervised and mentored student projects (e.g. Master‘s theses), guiding experimental design and data analysis

  • Henkel (3 yrs 7 mos)
    • Vocational Training Germany Human Resources
      May 2019 - Aug 2021 · 2 yrs 4 mos

      Working Student (Dual B.Eng. & M.Eng., Training & Communication) - Contributed to the improvement of training programs through design thinking workshops and supported the implementation of a digital communication initiative

    • Supply Chain Consumer Brands
      Feb 2018 - Feb 2020 · 2 yrs 1 mo

      Working Student (Dual B.Eng., Process Optimization and Data Analysis) - Developed machine learning-based concepts for process optimization in dishwasher tablet production - Implemented a digital system for monitoring plant efficiency - Optimized warehouse operations to improve cost efficiency in detergent production

    • Material Science & Engineering Adhesive Technologies
      Feb 2018 - Mar 2018 · 2 mos

      Research Assistant (Dual B.Eng., Material Science) - Analyzed temperature effects on polymer materials in additive manufacturing to support material performance evaluation