Shuai Mu

Associate Professor
Department of Computer Science
Stony Brook University

Office: New Computer Science RM-351
Email: shuai at cs stonybrook edu
Links: Blog, Calendar, Google Scholar

I am an associate professor of Computer Science at Stony Brook University. My main research interests are in distributed systems and multi-core systems. I’m particularly interested in:

  • Building fault-tolerant storage and database systems.
  • Building tools to ease concurrent programming for developers.
  • Verifying correctness of distributed systems and algorithms.

I am looking for motivated PhD/MS/Undergrad students. If you are interested, email me a brief resume.

News (see all)

  • Jun 2026, Jetpack accepted to OSDI ‘26!
  • Jun 2026, Weihai defended his PhD dissertation! Congratulations!
  • Sep 2025, AutoMan and Tiga accepted to SOSP ‘25!
  • Jul 2025, Mako appeared at OSDI ‘25!
  • Dec 2024, Received SBU Research Excellence Award. Thank you Seawolves!
  • Jun 2024, CausalMesh accepted to PVLDB 24 (VLDB ‘25)!

Recent PC activities

  • 2027: NSDI, OSDI
  • 2026: OSDI, ASPLOS, EuroSys, ATC
  • 2025: EuroSys, USENIX ATC
  • 2024: SOSP, USENIX ATC

Recent courses (see all)

Recent publications (see all)

  • Jetpack: Consensus Made Generally Fast [paper]
    Ze Tang, Zihao Zhang, Weihai Shen, Jicheng Shi, Shuai Mu
    OSDI 26
  • AutoMan: Facilitating Verified Distributed Systems Development Through Automatic Code Generation and Manual Optimizations [paper]
    Zihao Zhang, Ti Zhou, Christa Jenkins, Omar Chowdhury, Shuai Mu
    SOSP 25
  • Tiga: Accelerating Geo-Distributed Transactions with Synchronized Clocks [paper]
    Jinkun Geng, Shuai Mu, Anirudh Sivaraman, Balaji Prabhakar
    SOSP 25
  • Mako: Speculative Distributed Transactions with Geo-Replication [paper]
    Weihai Shen, Yang Cui, Siddhartha Sen, Sebastian Angel, and Shuai Mu
    OSDI 25
  • CausalMesh: A Causal Cache for Stateful Serverless Computing [paper]
    Haoran Zhang, Shuai Mu, Sebastian Angel, Vincent Liu
    PVLDB 24, Best Paper Award Nominee
    ACM SIGMOD Research Highlight Award

Students (see alumni)