Lefteris Kokoris-kogias
Research Scientist at Mysten Labs
Athens, Attica, Greece
Summary
🤩
Rockstar🎓
Top SchoolLefteris Kokoris-kogias is a Research Scientist with 11 years of experience building secure, scalable distributed systems at the intersection of computer security and decentralized infrastructure. Currently at Mysten Labs, he focuses on scalable blockchain systems, bias-resistant decentralized randomness, secure software update dispersion, and novel threshold-cryptography and consensus primitives. His background spans academia and industry—EPFL PhD-trained research at institutions like ISTA and collaborations with Facebook, Protocol Labs, Polkadot, VMware, and IBM—where he led teams and advanced practical, robust protocols. Lefteris blends deep theoretical grounding with hands-on implementation, continuing work on projects such as Narwhal & Bullshark to bridge research prototypes and production-grade networks. Based in Athens, he brings a rare combination of cryptographic insight and systems engineering aimed at increasing digital trust in services that affect the physical world. Notably, his work emphasizes bias resistance in randomness and resilient update mechanisms—subtle but crucial components for real-world decentralized systems.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer & Communication Systems, Doctor of Philosophy (Ph.D.) Computer & Communication Systems at EPFLMaster of Engineering - MEng Computer Engineering, Master of Engineering - MEng Computer Engineering at National Technical University of Athens
Greek, English, German, French, Spanish
Github Skills (50)
programming-language10
solidity10
low-latency10
distributed-ledger-technology10
aptos10
contract10
sui10
authority10
latency10
throughput10
ethereum10
blockchain10
ranking10
smart-contracts10
move10
Programming languages (7)
Github contributions (5)
LefKok/lefkok.github.io
Jul 2017 - Oct 2024
Contributions:22 pushes, 1 branch in 7 years 4 months
LefKok/CSrankings
Sep 2020 - Jan 2024
A web app for ranking computer science departments according to their research output in selective venues.
Contributions:7 pushes in 3 years 4 months
reactscienceresearch-outputselectivedepartments
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