Austin Bennett

Austin Bennett is a Research Software Engineer at Circle, specializing in cryptoeconomics, artificial intelligence, and decentralized finance.

Currently, Austin also serves as a Course Assistant at Stanford Law School and Stanford University Graduate School of Business, and as a SIEPR Undergraduate Research Fellow at the Stanford Institute for Economic Policy Research.

At Circle, Austin develops capital efficiency models for the Gateway protocol and leads data science and AI projects for various research initiatives.

Austin holds an M.S. in Computer Science (AI Track), a B.A.H. in Economics, and a B.S. in Data Science from Stanford University, where Austin's academic research focused on blockchain governance, stablecoins, and central bank digital currencies (CBDCs).

Austin's past experience includes serving as a Research Assistant for Stanford Law School's Computational Law Research Group, contributing to computable contracts, and as a Research Intern at Wing Venture Capital, focusing on AI adoption and economic impacts.

Previously, Austin was a Software Engineer at Assette, where Austin was the chief developer for the RFP SmartParser and authored a docx data ingestion engine, and also gained experience as a Summer Associate at Boston Consulting Group and as a Senior Consultant at Stanford Consulting Student Group.

Austin is currently focused on the intersection of computer science and law, with interests in algorithmic bias, blockchain technology, and tech regulation.

Bio is AI generated & may not be accurate.