songzeli8824 [at] gmail [dot] com

Google Scholar
Songze Li


Department of Electrical Engineering
Stanford University

I am joining the Hong Kong University of Science and Technology as an assistant professor starting Nov. 2020.

I currently have multiple openings for postgraduate students (MPhil and PhD), postdocs, and visiting students/interns, on topics including algorithms and systems of distributed machine learning, and blockchain protocls and systems. If you are interested, please email me with your CV, transcript, and any related pblications at songzeli [at] ust [dot] hk.

About Me

I am currently working as a blockchain researcher at Stanford university. Prior to that, I spent a year as a research scientist working on blockchain technologies at Applied Protocol Research. I received my PhD degree in Electrical Engineering from University of Southern California, and my BSc degree in Electrical Engineering from New York University.

Distinctions & Awards

Research Interests

  • Secure, efficient, and scalable blockchain systems
  • ML systems
  • Coded distributed computing
  • Edge/fog computing


  • Together with amazing collaborators from academia and industry, we release a software library FedML for federated learning, which allows fast prototying and experimenting research ideas across various computing environments. Please give it a try and your feedbacks are greatly appreciated.
  • Our paper "PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously" is published on IEEE Transactions on Information Forensics and Security. Congratulations Fisher, Chien-Sheng, Salman, Sreeram, and Pramod!
  • Together with my PhD advisor Salman Avestimehr, we publish a monograph on coded computing.