Ronghui Gu

Ronghui Gu is the inaugural Tang Family Associate Professor of Computer Science at Columbia University's Fu Foundation School of Engineering and Applied Science. He leads a research group focused on building verified systems software and serves on program committees for major conferences including PLDI, POPL, OSDI, and SOSP.

His educational background includes:

• Ph.D. in Computer Science from Yale University (2016), where he received the Distinguished Dissertation Award
• B.S. in Computer Science from Tsinghua University (2011), graduating with Highest Distinction (3 out of 140)

Gu's research centers on certified software systems, spanning programming language design, OS kernel development, formal semantics, compiler development, proof engineering, and concurrency. His work bridges theoretical foundations with practical systems, particularly in the areas of formal verification for operating systems, distributed protocols, and quantum computing. He has pioneered approaches that combine formal methods with machine learning techniques to automate verification tasks that were previously intractable.

Analysis of his publication record shows a clear trajectory from foundational work on verified operating systems (CertiKOS, mCertiKOS) to broader applications in distributed systems (DistAI, DuoAI), quantum computing (Gleipnir, Giallar, HyperQ), and blockchain security. His recent work increasingly focuses on automation techniques that make formal verification practical for real-world systems.

His notable achievements include:

• OSDI Jay Lepreau Best Paper Award (2021)
• SOSP Best Paper Award (2019)
• Multiple Amazon Research Awards (2021-2025)
• NSF CAREER Award (2023)
• VMware Systems Research Award (2023)
• CACM Research Highlight

Gu has secured substantial research funding including a $4.5 million DARPA grant for Verified Enclave Layers. He has advised numerous PhD students who have gone on to positions at top institutions and companies. As founder of CertiK, a Web3 cybersecurity unicorn valued at $2 billion, he has successfully translated academic research into real-world impact, securing over $300 billion in cryptocurrency assets.

His lab maintains active collaborations with industry partners including VMware, AWS, Google, and quantum computing companies, focusing on making formal verification practical for critical systems.