Biography

I bring over 15 years of professional experience in software engineering, with a strong focus on full-stack development, AI integration, and data-driven system design.

My academic work is situated at the intersection of software engineering, artificial intelligence, and machine learning. At the University of Zurich, I develop and maintain advanced digital platforms that support the implementation of climate impact models and sustainability assessments in both research and policy environments, including SUREAL.ai, Correntics.com, and the NCCS climate data portal. I work closely with interdisciplinary teams to translate complex analytical models into interactive applications for climate risk analysis and real-time decision support.

I have contributed to several high-impact academic and applied research projects, where I integrated AI methods and large language models to enhance usability, analytical performance, and communication of results. I hold a Master’s degree in Computer Software Engineering and have published research in affective computing and image perception, combining deep learning techniques with cognitive science.

Reserach interest:

• Artificial intelligence
• Human-computer interaction and cognitive computing
• Software systems and digital tools for academic knowledge transfer
• Machine learning for interdisciplinary research