Senior Automation Engineer specializing in the implementation, and optimization of automated laboratory systems for drug discovery. Work focuses on integrating robotics and intelligent control strategies to enable scalable, high-throughput experimentation. Key responsibilities and contributions include:

• Development and optimization of end-to-end automated workflows for pharmaceutical research laboratories, including liquid handling, sample logistics, and assay execution.
• Deployment of robotics and laboratory instruments into cohesive automation platforms with reliable orchestration, monitoring, and data traceability.
• Application of mathematical optimization and machine learning to enhance system performance, resource utilization, and experimental throughput.
• Collaboration with multidisciplinary research teams to translate scientific workflows into robust automated processes.
• Continuous improvement of automation reliability, fault-tolerance, and system interoperability across diverse laboratory technologies.

Research Scientist specializing in robotic assembly automation, applying mathematical optimization and machine learning to complex industrial challenges. Key areas of contribution include:

• Optimization of robotic and hybrid assembly lines using mixed-integer programming and evolutionary algorithms.
• Integration of robotic assembly skills with symbolic AI to solve peg-in-hole tasks, including real-world execution and evaluation.
• Development of reinforcement-learning approaches for acquiring complex assembly behaviors in physics-based simulation.
• Verification and validation of machine-learning detection models for safety-critical automation environments.

Research Assistant in the group of “Industrial and Commercial Service Robots” with the following main emphasis:

• Autonomous simulation and identification of safety critical behaviour for assistive robots as continous integration service.
• Design and simulation of assistive robotics in highly changeable and dynamic environments.
• Optimization of path control procedures for assistive robots through identification and setup of edge-case test environments and a parameter optimization pipeline.

• Technical design, calculation and construction of endurance and extreme temperature test benches for automotive manufacturers.
• Investigation of double clutch systems in high performance transmission for motorcycles with more than 200 hp.

• Specialized in software engineering and systems control, with a focus on automation applications.
• Master thesis in the field of reinforcement learning for human robot collaboration, “Deep reinforcement learning architecture for safety behaviour in robotics”.
• Study thesis in the field of service robotics path planning, “Analysis and optimization of parameter sets for path control procedures of mobile service robotics in dynamic environments”.
• Final grade 1,7.

• Bachelor thesis in the field of control engineering, “Design of a control algorithm for an airplane autopilot”.
• Final grade 1,7.