Ryan Bromley, PhD
Narrative
Ryan is an educator, writer, and curriculum designer based in Warsaw. His current work asks how schools can help young people build voice, judgement, resilience, and visible capability in an age of AI.
His route into education runs through kitchens, diplomacy, food policy, sensory research, contemporary art, and school leadership. A PhD on the chemical senses in art and an MSc in Food Policy sit beside work with the UN World Food Programme, diplomatic hospitality, Chopin Vodka, Akademeia, NEO School Playa Grande, and Liceum Artes Liberales.
The through-line is the design of learning environments that behave more like ateliers than classrooms: interdisciplinary, practical, relational, and evidence-rich. He builds settings where students use tools, materials, research, and public work to test what they know and who they are becoming.
Pattern
Five modes of working.
Researching
PhD in Fine Arts / Curatorial Studies
Focused on the chemical senses in art and the relationship between perception, materials, and experience.
Public knowledge
MSc in Food Policy
Built a policy lens for institutions, systems, public evidence, and food-related questions.
Making
Chef, sensory, and product work
Worked through pressure, materials, taste, iteration, design constraints, and real service conditions.
Teaching
School leadership and programme design
Coordinated students, parents, faculty, wellbeing, mentoring, curriculum, and interdisciplinary assessment.
Building
AI-supported learning environments
Develops labs and systems where students learn by making evidence-rich work in public or inspectable forms.
Collaboration fit
Ryan is interested in work with teams building serious learning environments, student evidence systems, AI-supported programmes, or practical education products.
Modes Employment, advisory, programme design, school partnership, early-stage collaboration
Geography Based in Warsaw; open to remote and international collaboration
Ideal partners Founder-led schools, learning labs, education product teams, evidence-focused institutions
Non-fit Generic AI consulting, conventional classroom instruction, or programmes built on standardised models of learning and human development
Useful to
Founder-led schools, AI learning ventures, and teams building serious new models for education, evidence, or product work.
Discuss a fit