I am a PhD scientist with 15+ years of experience in industrial and deep-tech R&D at HP Indigo and Twine Solutions, working across research, product development, scale-up, structured problem-solving and sustainability.

A significant part of my work has focused on how teams investigate complex problems: framing questions, designing experiments, combining data with expert knowledge, challenging assumptions, developing methodologies, documenting learning and translating evidence into technical and product decisions.

Since relocating to Berlin, I have expanded this experience through Data Analytics training and extensive hands-on work with AI and interactive tools.

I am particularly interested in how structured methodologies, data and AI can help people investigate complex questions, develop understanding and make better evidence-informed decisions while keeping humans actively involved in the process.

I am also interested in interactive approaches to public data and learning. I recently developed the European Strategy Atlas, an exploratory tool using European public data to help users investigate patterns, relationships and trade-offs.

I am currently exploring opportunities to contribute to applied research, methodology and tool development, knowledge and learning, evidence-informed decision-making, and Human-AI collaboration. I am especially interested in exchanging perspectives and collaborating across scientific, public-sector and industrial contexts.