
George Danezis is the Co-Founder and Chief Scientist at Mysten Labs. He brings more than 20 years of experience in cryptography, security engineering, and decentralized systems and nearly 3 years of professional experience at Meta, where he served as a Research Scientist at Novi Financial, designing privacy-preserving payment protocols for the Diem blockchain.
Prior to Meta, George spent over a decade as a Professor of Security and Privacy Engineering at University College London (UCL), leading research on distributed systems, anonymity protocols, and blockchain security. He has also served as a Faculty Fellow at The Alan Turing Institute and as an Advisor to Vega Protocol, focusing on decentralized finance security.
George holds a Ph.D. in Computer Security from the University of Cambridge, where his research on anonymous communications and distributed security protocols was funded by the Newton Trust and the Cambridge-MIT Institute.



Introducing Hashi, a Sui-based primitive enabling BTC-backed lending with participation from leading institutions

As AI moves from advice to action, infrastructure matters. Sui enables autonomous systems to act safely, coherently, and with proof

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A deep dive into how Aftermath, Astros, Bluefin, FlowX, and Zo are shaping Sui’s derivatives ecosystem and pushing the design space forward

The world’s largest AI models can now remote control DeFi via Sui’s first agentic wallet framework, Beep.

Introducing full beta support for gRPC on Sui.

Next-gen network security is coming to Sui with SCION’s path-aware, attack-resistant architecture.

Sui’s shared object congestion control introduces smarter transaction management on hot objects.

Mysten Labs' Chief Scientist explains the development of Mysticeti and what it means to users.

Mysten Labs' Chief Scientist explains how Sui's new consensus engine combines high throughput and low latency.

Mysten Labs' Chief Scientist explains how Sui's new consensus engine reduces latency

Customizable access to Sui’s onchain data through the Sui Indexing framework.