Today we begin our acquaintance with the
@get_optimum team, which is creating a new fundamental network layer for Web3.
@MurielMedard is a Co-founder of Optimum and NEC Professor of Software Science and Engineering at MIT EECS.
She is one of the world leaders in the field of network coding and co-author of Random Linear Network Coding (RLNC), the technology that became the theoretical basis for
@get_optimum.
⚫️Scientific scale:
▪️Member of the National Academy of Engineering (USA)
▪️Member of the Leopoldina Fellowship (Germany), American Academy of Arts and Sciences
▪️Fellow IEEE, Fellow National Academy of Inventors, Fellow Royal Academy of Engineering
▪️Honorary doctorates from the University of Munich, Aalborg University, and BME University of Budapest
⚫️Publications, awards, influence:
Muriel is the recipient of dozens of prestigious awards from the IEEE, ACM, and MIT.
Her research has received over 15 major awards, including the ACM SIGCOMM Test of Time and the IEEE Kobayashi Award.
She served as president of the IEEE Information Theory Society and spent decades shaping the development of information theory worldwide.
⚫️Patents and Industrial Impact:
50 international patents, most of which have been licensed or acquired by industry.
She founded several deep-tech companies:
CodeOn, Nanoping, and now
@get_optimum , where she is CEO.
Why Optimum?
Web3 today is fast at computing, but slow at distributing and storing data. Networking is the main bottleneck.
Muriel brought two decades of RLNC research to Web3 to create a new data-processing principle: a fast, reliable, and decentralized memory layer.
RLNC is the basis of Optimum network architectures.
@MurielMedard is that rare combination of world-class scientist, visionary, and practitioner who transforms fundamental theory into practical technologies.
In the next section, we'll meet the rest of the key members of the
@get_optimum team♾
@ChandlerOtterbe @kentlinyy @EliLaipson
@blockchainjeff @kishori_konwar