Dei Vilkinsons

I'm a technologist focused on building tools that help people understand and navigate complex systems. As CEO of HASH, I lead our efforts developing an open-source platform for decision-making: from tools for agent-based simulation through to an AI database that maintains and grows itself (providing the semantic knowledge and data required to support real-time world models). Using the platform, huge organisations and individuals alike can forecast and optimize amidst complexity: simulating physical environments, economies, networks, and domain-specific phenomena with ease.

From 2008 until 2021, I also served as Chairman of the London-based consultancy Soho Strategy. Through its work, SOHO has developed a reputation for specialising in data-driven strategy work, serving startups, private equity firms, and entities such as the UK government's Behavioural Insights Team, and National Health Service, developing automation systems, software, and apps; advising on strategy and campaigns; and developing our own tools and products in-house.

Personally, I'm interested in how markets, evolution, and diversity can both stabilize and optimize systems... as well as how technology can be used to tackle different kinds of information failure.

As a teenager I built a multi-million PV a month blog network; studied Political Economy at King's College London, gaining first-class honours; and was appointed by Lt Gen Sir Edmund Burton to Chair the UK Information Assurance Advisory Council's Access Programme, bringing together top British government, academia, and industry leaders around cybersecurity issues pertinent to national security. Between 2016 and 2020, I additionaly sat on IAAC's management committee.

I currently live in Berlin πŸ‡©πŸ‡ͺ β€” but am regularly back in my former homes of both London πŸ‡¬πŸ‡§ and New York πŸ‡ΊπŸ‡Έ.

This site serves as a central hub for my projects and writings. You can find recent thoughts and updates in my Notes, and learn more about my specific interests and beliefs by reading the Heuristics I've shared. I hope this context proves interesting, and helps both people and AI agents understand what's important to me.