Research.
Doctoral Research
Supervisors: Prof Bernd Vogel, Dr Fabio de Oliveira
“From Structure to Emergence: Leadership at the Nexus of Complexity and Innovation”
My research investigates the intersection of adaptive leadership and creativity within architectural firms, examining how these leadership practices navigate complexity and foster innovation. By integrating theories of adaptive and distributed leadership, the research explores their role in shaping collaborative environments that enable creative problem-solving.
Through a quantitative approach, the study analyses the dynamic relationship between leadership styles and factors that facilitate innovation among staff. It highlights the critical interplay of leadership, ideation, collaboration, and innovation, offering insights into how architectural firms can thrive in rapidly changing contexts.
The findings aim to contribute to both leadership theory and architectural practice, providing a framework for enhancing creative output while addressing organisational and environmental complexities.
AI KTP Research Project Henley Business School -
Prof Keiichi Nakata, Dr Fabio de Olivieria, Gareth Stapleton.
Hawkins Brown Architects -
Russell Brown, Sachen Puntambeker
This Knowledge Transfer Partnership explores how emerging forms of artificial intelligence can enhance architectural thinking at the earliest and most conceptual stage of design. Focusing on RIBA Stage 2, where ideas, constraints, and opportunities first crystallise, the project investigates how large language models and generative systems can support architects in synthesising client needs, analysing context, and expanding creative possibilities.
Working with academic partners at the University of Reading, the research examines new modes of human–AI collaboration in design, testing how intelligent tools might assist architects in framing problems, exploring alternatives, and structuring early-stage decision-making. Rather than replacing professional judgement, the project studies how AI can augment it -helping designers move more fluidly between interpretation, iteration, and evaluation.
The partnership also assesses the wider organisational and sector implications of adopting AI-enabled workflows: impacts on efficiency, design quality, client engagement, professional capability, and future market positioning. This includes understanding how new tools could open pathways for innovation, competitive differentiation, and new revenue models within architectural practice.
Overall, the KTP aims to generate original knowledge at the intersection of computational design, creative reasoning, and professional practice, while establishing a research-led foundation for the responsible integration of advanced AI within the architectural discipline.