Shruti Appiah pioneered the field of cryptoeconomics by conceptualizing and developing the first agent-based simulations of a DAO in 2016. Motivated by engineering ethics and scientific rigour, she created the token engineering design process, and led research for Token Utility Canvas. She has also built LSTM neural networks to forecast crypto markets. Previously, she founded decentralized identity strategy at Okta, manifesting in a $50M fund dedicated to blockchain identity products. Today, Shruti is building the first blockchain artificial economy in a multi-agent learning system with the Santa Fe Institute. With this, she leverages the game-theoretic paradigms present in cryptoeconomies to uncover the human-inconceivable strategies of AI interacting on a blockchain. She also heads token engineering research at ConsenSys. Shruti is a Systems Design Engineer from the University of Waterloo, and has been recognized in Canada’s top 30 under 30.