Collaborate,
Analyze,
Align.

Bridging human insight and computational analysis in architectural pre-design.

I explore how AI-driven insights can support architectural decision-making—bridging theory and practice to enhance stakeholder collaboration, refine design objectives, and manage complexity in the pre-design phase.

Approach & Research

Architectural researcher and designer with a Master of Science Architecture degree from Aalto University and a RIBA (Part 1) Bachelor’s degree from Kent School of Architecture and Planning. Experience spans architectural firms in Istanbul and Helsinki, along with collaboration with a London-based partner firm.

Background covers systems-thinking approaches, computational tools, data-driven methodologies, and AI-assisted processes in architectural design. Particularly interested in mixed-use developments, urban planning, and civic architecture, with a focus on early-stage design thinking and conceptual development.

Deeply engaged in research-driven innovation, exploring how data-driven methodologies and human-AI collaboration can enhance stakeholder engagement, pre-design workflows, and decision-making. Strong appreciation for culture, art, and interdisciplinary design, with a commitment to integrating technology, research, and contextual awareness within architectural practice.