My path combines design, urban research, and data analytics — disciplines that share a concern for structure, systems, and human impact.

I have a multidisciplinary background in Architecture, Urban Research, and Design, which naturally evolved into an interest in data. Over time, I moved from studying how people interact with physical environments to exploring how data can reveal patterns about those same systems.

Design gives structure to my analytical process. It helps me think visually and systemically, not just about how data looks, but how it’s understood. I approach datasets like design problems, organizing complexity into clear, meaningful forms.

I aim to make complexity understandable and engaging for both technical and non-technical audiences. Clarity, narrative, and structure are key to turning data into insights that support informed decisions.

Data is a powerful way to understand how systems function and change. I enjoy finding patterns that connect analysis to real human stories, when numbers become insight and they materialize graphically.