• exploring the landscape of tech, design, and social systems through Traverse In Space
  • lecturing "Designing with Extended Intelligence" for MDEF in IAAC/FabLab
  • lecturing "Smart Objects" for Design Management Students in IED / University of Westminster


  • designing and developing react platforms with Krashidbuilt
  • created the future of a kitchen installation for Dutch Design Week with W3}RD
  • founded a strategic R&D consultancy with Cece MoSze Tham & Mark B√ľnger
  • prototyped the future if autonomous commerce with Alpha - Telefonica (Now Koa Health)
  • lectured "The Atlas of Weak Signals" for MDEF in IAAC / FabLab Barcelona
  • researched social cognition and trust at SPECS
  • lead creative technology at IdeasForChange
  • developed creative installations with VIMOD
  • developed an open-source education STEM platform with MIT / Fab Foundation
  • presented at and recognized by the EU Commission as an expert designer of blockchain services
  • co-designed and developed open sourced onboarding experiences for Making Sense EU
  • was in growing startup, realized design is important... then left
  • had a startup ... it failed

Significant Clients:


I am currently fascinated with

  • the symbiosis between humans and artificial intelligence as a means to empower new forms of decision making
  • the impact digital experiences can have on education and upskilling individuals and communities
  • the future of social systems and urban spaces

I have a thing for academia

  • M. S. Cognitive Science & Interactive Media
  • M. A. Interactive Application Design
  • B. S. Computer Science
  • B. S. Criminology

...which has led to some publications

I have been solutioning professionally for 7 years and during that time I have developed these skills:

  • Research: Human-Computer Interaction, Civic Technology
  • Design: Futuring & Innovation Strategy, Speculative Design, System Design, UX, UI, Participatory Design
  • Full-Stack: React, HTML, CSS, JavaScript, Node.js, PostgreSQL, MySQL, AWS, Docker
  • Machine Learning: Python, Jupyter
  • IoT Technologies: Raspberry Pi, Arduino, Processing