Lugano Metropolitan Area
I am a Chemical and Process Engineer focused on computational modelling for industrial systems. I work where machine learning meets physics‑based methods, using both to design, optimize, and monitor complex chemical processes in a way that stays robust, explainable, and scalable. I’m driven by the idea that intelligent modelling can make large‑scale industrial systems safer, more efficient, and more sustainable. Outside engineering, I enjoy learning languages, playing the piano, and long‑distance running, which keep me curious and energized. Let’s connect!
Develop and validate computational models of chemical and industrial processes to analyze system behavior, optimize performance, and support design decisions. Apply data analysis and machine learning techniques to process design, monitoring and predictive modelling. Collaborate with multidisciplinary teams to improve efficiency, safety, and sustainability of industrial operations.
Developed a physics-informed, AI-based framework able to extract insights from complex datasets building interpretable engineering models. In parallel, worked on a project for real‑time monitoring and information extraction to support fast, data‑driven industrial decision making.
Analyzed supply chain data and process-performance relationships to reduce manufacturing costs and improve production reliability.
Contributed to the development of geo-polymeric materials that selectively bind COx, NOx, and water. Focused on material design, characterization, and property optimization using design of experiments.