2025 - today: Simulations and Digital Twins

Role: Engineer & Founder

Customer: on request

Tasks:

Development of Hybrid Digital Twins to enable deep process understanding and to support better decision- making and outcomes in industrial R&D and manufacturing.

05/2021 - 10/2025: Doctoral research on physics- based and data- driven modeling

Role: Guest researcher

Customer: Leibniz- Institut für Agrartechnik

Tasks:

• Doctoral research on physics- based and data- driven modeling of process variability and digital twins for thermal unit operations in the food indutry.
• Combined mechanistic heat and mass transport models with experimental data and data- driven methods to analyze material heterogeneity, predict process variability, and support simulation- based decision- making.

01/2021 - 10/2025: Doctoral research on physics- based and data- driven modeling

Role: Associate Researcher

Customer: Joint Lab Artifi cial Intelligence & Data Science Universität Osnabrück

Tasks:

• Doctoral research on physics- based and data- driven modeling of process variability and digital twins for thermal unit operations in the food indutry.
• Combined mechanistic heat and mass transport models with experimental data and data- driven methods to analyze material heterogeneity, predict process variability, and support simulation- based decision- making.

2021 - 10/2025: Doctoral research on physics- based and data- driven modeling

Role: Doctoral researcher

Customer: Humboldt- Universität zu Berlin

Tasks:

• Doctoral research on physics- based and data- driven modeling of process variability and digital twins for thermal unit operations in the food indutry.
• Combined mechanistic heat and mass transport models with experimental data and data- driven methods to analyze material heterogeneity, predict process variability, and support simulation- based decision- making.

05/2021 ? 05/2025: Doctoral research on physics- based and data- driven modeling

Role: Scientist

Customer: Empa - Swiss Federal Laboratories for Materials Science and Technology, St. Gallen, CH

Tasks:

• Doctoral research on physics- based and data- driven modeling of process variability and digital twins for thermal unit operations in the food indutry.
• Combined mechanistic heat and mass transport models with experimental data and data- driven methods to analyze material heterogeneity, predict process variability, and support simulation- based decision- making.

09/2020 - 02/2021: Doctoral research on physics- based and data- driven modeling

Role: Guest researcher

Customer: Empa - Swiss Federal Laboratories for Materials Science and Technology, St. Gallen, CH

Tasks:

• Doctoral research on physics- based and data- driven modeling of process variability and digital twins for thermal unit operations in the food indutry.
• Combined mechanistic heat and mass transport models with experimental data and data- driven methods to analyze material heterogeneity, predict process variability, and support simulation- based decision- making.

07/2018 - 02/2021: Process engineering and project execution

Role: Process engineer

Customer: Food & Feed HPE- Konstanz

Tasks:

• Process engineering and project execution in plant and machine design for the food and feed Industry (Bühler Group, Uzwil), with a focus on hygienic equipment design.
• Led process design and scale- up of extrusion processes, acted as Quality Management representative, and supported CE conformity, risk assessments, and machine and plant safety.
• Developed automation tools for quotation workflows and prepared 3D layouts and technical documentation in close collaboration with international multidisciplinary engineering teams.

04/2016 - 09/2016: Process development

Role: R&D Engineer

Customer: Baxter International Inc., Hechingen, Germany

Tasks:

• R&D engineering for medical devices under ISO 13485 Quality Management System, Design Control (ISO 13485, FDA 21 CFR Part 820), and Risk Management (ISO 14971). Conducted root- cause analyses, complaint investigations, and CAPAs for ultrafi ltration devices. Developed and validated integrity testing methods supported by experimental design, modeling, and simulation.
• Planned and executed equipment commissioning and qualifi cation (IQ/OQ) for experimental and test systems.