Science
Where art gives me the freedom to explore emotion and intuition, science gives me the tools to test, question, and explain. The line between the two has always been blurry for me — and that’s exactly where I like to work.
Much of my design practice is rooted in experimentation: using research not just as a foundation, but as an active part of making. Whether I’m prototyping interactive tools, visualizing datasets, or building speculative machines, I approach science as something hands-on — a process of curiosity in motion.
These projects often translate abstract ideas into tangible experiences. They live between disciplines, borrowing methods from engineering, design, and philosophy. They ask how things work — and more importantly, why we make them in the first place.
This page collects work where analysis meets imagination. It’s where my thinking sharpens, and ideas grow structure.
In this physical data experience, we reimagined how water stress can be visualized — not as a chart or map, but as a sculpted landscape of global population and vulnerability. By removing traditional borders and focusing purely on data, we created a tactile world where cities rise like mountains from population density, and stress flows silently beneath their peaks.
Where water is scarce, its meaning is relative. In sparsely populated areas, scarcity echoes differently than in dense urban cores. This project maps selected capitals against global population pressure — a dual-layered narrative where human presence and environmental fragility meet.
The artifact invites exploration beyond boundaries — offering an abstract but precise lens to reflect on resource inequality, scale, and silence. From data cleaning to physical layering, every decision emphasized clarity, tactility, and a quiet urgency.
Exhibited at: Re:publica 2023 · Kunsthalle Düsseldorf · CHI 2023 (WS10)
Nominated for: Information is Beautiful Awards (Washington, DC)
Selected for: Museum of Wild & Newfangled Art Biennial · DVS Lightning Talks
For my master graduation project, I explored the ethical dilemmas of using machine learning models in decision-making systems that impact both individuals and society at large.
The result: an interactive data visualization that doesn’t just show the data — it invites reflection. Through a real-world case study and a set of Explainable AI tools, I made visible how algorithms can influence our lives, and what it means when we no longer understand how or why.
The project was selected for Dutch Design Week 2023 by a recruiter and exhibited at Manifestations, a space where technology meets humanity — sometimes in harmony, sometimes in conflict.
It wasn’t just a design showcase. It was a question in visual form: Are we still in control, or just comfortable with the illusion of it?
DDW 2022 |
This interactive installation was developed during my master’s in Industrial Design at TU/e. It aimed to collect responses about the kinds of data people are comfortable sharing with social media, to enhance their own timeline experience.
These responses were transformed into a dataset and later became the foundation for an academic paper, exploring the balance between personalization and privacy in digital platforms.
