Data Landscape
I am an emerging architect and researcher based in Berlin.
I hold a Master’s degree in Architecture – Typology from TU Berlin, having previously studied at the University of Zagreb and Tsinghua University in Beijing.
I have worked in international architecture offices, contributing to award-winning projects.
Alongside architectural practice, I have been engaged in academia as a research assistant at TU Berlin, contributing to research on additive manufacturing and sustainable materials and exploring the relationship between emerging fabrication technologies, material systems, and architectural production.
Across research and practice, I approach architecture as part of larger material, ecological, technological, and territorial systems. My methodology combines design research, computational design, material experimentation, and architectural speculation to challenge established modes of producing the built environment and propose alternative relationships between architecture, infrastructure, technology, and the environment.
My recent work originates in my master’s thesis, which was nominated for the BDA-SARP-Award, and has since developed into a broader investigation of the influence of planetary-scale computation on the built environment. Focusing on the data centre as one of its most prominent spatial typologies, the work seeks to render its often-invisible processes and labour visible, question its role within contemporary environments, and reimagine the typology as a form of public and ecological infrastructure.
Data Landscape explores the social and ecological consequences of planetary-scale computation by examining the data centre as its central architectural typology. Despite their seemingly immaterial function, data centres depend on vast physical systems: land, energy, water, cooling infrastructure, material supply chains, and communication networks. Yet they are typically conceived as isolated, unapproachable objects, disconnected from their immediate surroundings and largely invisible within architectural discourse.
The project challenges this model by understanding data centres not merely as introverted black boxes, but as complex infrastructural nodes through which flows of energy, data, water, materials, and information converge and circulate. By examining and deliberately redirecting these flows, the data centre can move beyond its condition as an isolated and disruptive object to become a civic and ecological urban infrastructure and a starting point for new spatial relationships.
The research is developed through the transformation of Ciglana Zagreb, a former brick factory embedded within a complex and endangered landscape of ecological, historical, and social layers. The industrial building becomes a starting point for architecturally rethinking the digital machine, whose infrastructures are carefully positioned within the landscape, aiding its revitalization.
Through territorial research, infrastructural mapping, typological investigation, and architectural design, Data Landscape proposes an alternative model for data infrastructure, one that is more locally embedded, environmentally reciprocal, and publicly legible. In doing so, the project asks a broader question: how can the architecture of digital infrastructure become an active participant in the landscapes and communities on which it depends?