Miguel de Vega is a mathematician, passionate innovator, and Co-founder and Chief Scientific Officer at Nillion, a computer and network security company. Miguel is the creator of Nillion’s new cryptographic primitive, Nil Message Compute (NMC), which represents a significant breakthrough in decentralized systems. Dedicated to making computation and data truly decentralized, Miguel has been innovating blockchain, distributed technologies, cryptography and deep learning since 2008. He has created mathematical models for various types of networks, including mobile, wireless, ad-hoc, satellite and optical fiber networks for large IT companies, designed domain-specific languages for some of the largest banks in the world, and machine learning algorithms and cryptographic protocols for several startups. In addition, Miguek is also a cryptography advisor at Royal United Services Institute (RUSI), the world’s oldest and the UK’s leading defense and security think tank. Prior to joining Nillion, he was Chief Technology Officer of Sedicii, the 2018 winner of the most prestigious fintech startup competition in the world.
NIL MESSAGE COMPUTE
NMC allows the operation of the first decentralized and permissionless public SMPC network at scale.
It allows Nillion to serve as a secure processing layer for Web3, and a source of off-chain computation.
It also serves as a decentralized private enclave, and as an enabler of interoperability between ledgers.
EARLY CAREER & EXPERTISE
At Sedicii, he led a team of developers in building products based in AI and advanced cryptography in distributed ledger technologies and digital processes.
He was an advisor for Botdreams, where they developed a virtual butler that replaces physical contact with a natural, human-like customer experience.
Miguel was VP of Data Science at Treexor, where he led a team of data scientists to provide actionable insights and data products.
He was an IT consultant for Nokia and Siemens, where his work focused on modeling and simulation of access networks.
He has filed 20+ patents in his career, 7 of which are still being used to optimize the flow of information on high-volume fiber optic cables today.
CURRENT AFFILIATIONS