Matthew Harrington

Head of Quantitative Research

Matthew Harrington currently serves as the Head of Quantitative Research at FPAM. Previously, Matthew served in a similar role with GoldenTree Asset Management, where he was instrumental in developing and implementing advanced DeFi strategies, as well as establishing software systems for trade execution and market analysis. His work includes the creation of an in-house backtesting engine and a crypto-curated factor library. Prior to GoldenTree, Harrington contributed his expertise at Risk Harbor as a Research Engineer, where he focused on emerging technologies in DeFi, and at Virginia Tech’s Hume Center for National Security and Technology as a Graduate Research Assistant, developing network simulations using ML algorithms. Harrington also led teams of fellow interns to victory in machine learning competitions while at MITRE Labs, and built full-stack web applications while a consultant at Joseki Technologies. In his academic pursuits, Harrington earned a Bachelor of Science in Engineering from Princeton University. He also completed a Master of Science in Computer Science from Virginia Tech, where he focused on the intersection of machine learning, blockchain technologies, and data privacy. He is a published author on the topic of Federated Machine Learning, and contributes to public research on emergent DeFi mechanisms.