Shawn Anderson

Token Engineering & Data Science Specialist

I am a multidisciplinary architect working at the intersection of data engineering, ontological design, and regenerative economics. My passion is creating knowledge commons infrastructure that transforms how we produce meaning from human conversations and build collective understanding. I believe in knowledge as a dynamic commons, not just information to be categorized. My approach combines sophisticated technical systems that preserve multiple perspectives with economic mechanisms that ensure contributors receive ongoing value from their insights. By aligning infrastructure with economics, I'm building pathways toward sovereignty, wisdom, and peace.

Professional Experience

Co-Founder & Data Scientist

The Bonding Curve Research Group

Jan 2023 - Present

Leading multidisciplinary research into bonding curves and their applications in Web3, with a focus on Primary and Secondary Automated Market Makers (PAMMs & SAMMs) for dynamic token supply and decentralized exchange.

Lead Developer

GAIA AI

Dec 2024 - Present

Leading development of the definitive interface for global ecological regeneration on the Virtuals platform, combining artificial intelligence with token engineering to catalyze planetary healing.

Director of Technology & Token Engineering

Kwaxala

2024 - Present

Leading technology and tokenization strategies for Indigenous-led forest conservation. Managing 140,000-acre coastal rainforest project, developing carbon credit platforms and ecosystem service solutions.

Founder & Data Scientist

Longtail Financial

2018 - Present

Founded and leading a Web3 consulting firm specializing in data science, tokenomics, and AI systems. Providing comprehensive solutions in crypto-economic system design and analysis.

Token Engineering Data Scientist

BlockScience

2023 - 2024

Led model-based systems engineering for economic networks, collaborating with a team of engineers to develop the subspace economic network.

Education

Master's degree, Computing Science

Simon Fraser University

Professional Masters in Big Data

2017 - 2019

GPA: 3.93/4.0

Key Areas: Deep Learning, Financial Data Science, Big Data Systems, Algorithms, Data Visualization, Data Mining, Machine Learning

BSc., Computing Science

University of Alberta

2011 - 2016

GPA: 3.2/4.0

Key Areas: Reinforcement Learning, Machine Learning, AI in Gaming, Network Security, Software Engineering, Algorithms, Mathematics & Statistics

Skills

Data Science

Machine Learning, Deep Learning, AI Agents, Reinforcement Learning, Big Data

Blockchain

Token Engineering, Smart Contracts, Web3, Cryptocurrency

Programming

Full Stack, Python, Typescript, Django, Solidity, Machine Learning, Web

Domain Expertise

Data Science, Systems Engineering, Re-villaging