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CHRISTINA DOUMPIOTII
: ChD
: cdmp
My current research at EPFL connects generative AI with detailed analyses of microclimates and materials in architecture. The goal is to see how we can employ new tools, methods and intelligences as forensic and generative ones, bringing the creative and the analytical together. Specifically, I'm interested in how the integration of large language models can adjust our design processes, both in the conceptual stages and in tangible applications.
Beyond just theory, this work aims to bring together human and machine intelligence and rethink how we interact with and perceive our environments, potentially shifting our perspective on what architecture can be in the age of AI.
Teaching forms a core part of my academic life so far, where I engage students in understanding both the physical aspects of architecture and the sentient impacts of our built environments. By marrying simulation with LLMs, we're exploring new territories in how spaces are designed and experienced, pushing the boundaries between human creativity and algorithmic precision.
- Teaching: Over ten years at the Architectural Association (AA), EPFL LDM lab (since 2017), Royal College of Art London RCA, Brighton University, Liverpool Univeristy, CCA California College of the Arts
- Computational Design: At Arup Associates, integrating computational design into architectural projects.
- Architecture Collective: Active member of OCEAN-NET, exploring the intersection of natural and artificial in architecture.
- Conference Co-organising: DeepCity and SmartGeometry, spotlighting technological advances in architecture and urbanism.
- Visiting School Co-Director: Led workshops at AA Visiting School, pushing the envelope in design and computation.
- Research Publications: Shared insights on generative AI's role in architecture and the impact of materials and microclimates on ResearchGate.
- obtain Diploma and MsC in Architecture and Engineering by AUTH Greece, and MArch by AA.