Hi, I'm Stephen.

I weave a technical background in AI/ML, complexity science and physics with experience in social entrepreneurship, transformative coaching and insight meditation.

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Short bio in the third person

Stephen Reid is a technologist, educator and facilitator who has trained in the fields of AI/ML, complexity science, physics, transformative coaching and insight meditation. Current projects include writing a book on Technological Metamodernism, hosting courses and residencies as a co-founder of Futurecraft, and leading the development of Dandelion as a member of not-for-profit worker co-op Symbiota.

Previously, he founded The Psychedelic Society, taught the Introduction to AI, Introduction to web3, How to DAO, Tools for the Regenerative Renaissance, The Promise of Decentralisation & Life as Practice courses, and served as the youngest ever board member of Greenpeace UK.

Stephen has an MPhys in Physics from the University of Oxford, where he specialised in quantum field theory, an MRes in Complexity Science from the University of Bristol, and a Professional Certificate in Machine Learning and Artificial Intelligence from UC Berkeley.

He lives with his partner Laura in Stockholm, Sweden.

Training and teachers

Technical

Coaching & psychotherapy

Meditation

Shipibo plant medicine

Soulcraft & Wild Mind

Pleasure & sexuality

Other

Online

Burns

Swimrun & triathlon

Scuba diving

Recent speaking engagements

Oct 2024, Dandelion
Laura Reeves on Amazonian Awakening, Emotion Release and Solstice Retreats
Sep 2024, Dandelion
Adam Taffler on Circling, Authentic Relating and the Wheel of Consent
Sep 2024, Future Fossils
Stephen Reid on Technological Metamodernism
Sep 2024, Dandelion
Chris Hardy on Embodied Relating and Ethical Hedonism
Sep 2024, Catalyzing Radical Systemic Change
Technological Metamodernism - Navigating Complexity in a Post-Truth World

View all speaking engagements →

Previous affiliations

Peer-reviewed research

Sep 2012, PLOS One
BSim: An Agent-Based Tool for Modeling Bacterial Populations in Systems and Synthetic Biology
Aug 2012, APS Physical Review E
Taxonomies of networks from community structure

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