Leading AI initiatives in life cycle assessment, focusing on the environmental, nutritional, and animal welfare impact of food products. • Developing automation pipelines using Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs). • Collaborating with interdisciplinary teams to design and implement AI models.

Worked on AI in Biomedical Imaging, focusing on the classification and analysis of malaria sporozoites.• Developed a code pipeline in Python to automatically classify and analyze the motility and rotation patterns of malaria sporozoites.• Utilized ilastik for image analysis.

Contributed to astrophysical research on star formation by enhancing the realism of computational models.• Worked on an existing codebase for simulating star formation processes including stellar feedback.• Implemented realistic density profiles of giant molecular clouds (so-called Bonnor-Ebert spheres)

Taught students advanced mathematical concepts and numerical methods in various courses.• Educated second-semester physicists in the course "Higher Mathematics for Physicists".• Educated computer science students, physicists, and pure mathematics students in "Introduction to Numerics"