Co-founder & Chief Scientist at University College London
England, United Kingdom
Join Prog.AI to see contacts
Join Prog.AI to see contacts
Summary
🤩
Rockstar
🎓
Top School
George Danezis is a security and privacy engineering leader with 13+ years bridging academic research and high-impact product engineering as Co-founder and Chief Scientist at Mysten Labs and Professor at UCL. He has deep cryptography and distributed systems expertise from a PhD at Cambridge and long tenures at Microsoft Research and Facebook/Novi, where he contributed to next-generation payment and smart-contract infrastructure. At Mysten Labs he has hands-on backend contributions to Sui, a high-throughput Move-based smart contract platform, reflecting rare expertise that spans both protocol design and production-grade implementation. He advises industry on privacy-preserving data platforms and has been a Faculty Fellow at the Alan Turing Institute, combining rigorous research leadership with startup execution. An understated strength is his ability to translate formal security ideas into pragmatic engineering—evident in refactors and cross-platform testing work that made core blockchain components more robust and portable.
13 years of coding experience
14 years of employment as a software developer
European Baccalaureate High School, European Baccalaureate High School at European School of Brussels
PhD Computer Security Cryptography, PhD Computer Security Cryptography at University of Cambridge
Sui, a next-generation smart contract platform with high throughput, low latency, and an asset-oriented programming model powered by the Move programming language
Role in this project:
Back-end Developer
Contributions:472 reviews, 160 commits, 106 PRs in 1 year 2 months
Contributions summary:George's commits primarily focused on developing and testing core backend functionalities of the Sui smart contract platform. Their work included fixing bugs and adapting tests to run on Windows environments, specifically within the `fastpay_core` and `fastpay` modules, which appear to handle transactions and server-side logic. Additionally, they made significant contributions to refactoring the `FastNFT` model, transitioning from accounts to objects and abstracting fastpay-specific details, demonstrating experience with the Move programming language and blockchain concepts. Furthermore, they adapted core elements to address many-to-many object inputs and multi-object transactions.
Contributions:123 commits, 4 PRs, 104 pushes in 2 years 3 months
cryptographyhashrusthash-chainchain
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.