Compass Labs

Automated Decision-Making for Decentralized Systems

Compass Labs accelerates the adoption of blockchain technologies by building the AI infrastructure to automate and optimize user interactions with any blockchain system. In doing so, we bring together a team of experts in developing and deploying cutting-edge machine learning solutions to the decentralized space.

Coming soon

Compass

The AI infrastructure to automate and optimize decision-making for liquidity providers in one-click.

Risk Adjusted Returns

Optimize risk-adjusted returns when providing liquidity, specifically tailored to your personal risk tolerance

AI Powered Strategies

Leverage the open-source, code-based infrastructure of the blockchain through our decision making engine, powered by statistics, agent-based simulation and reinforcement learning

Reduced Complexity

Abstract away advanced decision-making through a one-click experience, with state-of-the-art algorithms under the hood

Team

Great people make great things happen! If you're passionate about your work and find our projects exciting, we'd love to hear from you 💬

Elisabeth Duijnstee
Co-Founder & CEO

Elisabeth did her Ph.D. in Physics at the University of Oxford. She then joined a hedge fund before doing a Machine Learning fellowship at Faculty AI. Prior to this she graduated with honours with a Masters in Physics. She is also a partner at Founders and Funders at Oxford's Business School.

Rohan Tangri
Co-Founder and CTO

Rohan was a Data Scientist at JP Morgan, who also sponsored his Ph.D. in Modern Statistics and Statistical Machine Learning at Imperial College London. Prior to this, he graduated on the Dean's List with a Masters in Electrical and Electronic Engineering from Imperial College London, where he developed algorithms for NASA's InSight Mars Mission.

Peter Yatsyshin
Research Scientist

Peter is a theoretical physicist, who migrated into machine learning. Presently, he is a Research Associate at The Alan Turing Institute, working on scalable methods for statistical inference and probabilistic machine learning. Peter holds a Ph.D. from Imperial College London for work in computational statistical physics. His favourite tech stack is jax and numpyro.

Theo Dale
Smart Contract Engineer

Theo is a software engineer with a passion for web3. He graduated from Imperial College London with a BSc. in Physics before completing a Computer Science Masters at the University of Bath. Since then, he has shipped products for multiple protocols, including a decentralized NFT collateralized lending platform.

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