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Yifei Liu

Software Engineer

Google

Biography

I am Yifei Liu, a Software Engineer at Google Cloud in the Greater Seattle area, working on building efficient, reliable, and scalable cloud infrastructure for AI/ML and beyond.

I earned my Ph.D. in Computer Science from Stony Brook University . As part of the File Systems and Storage Lab (FSL) , advised by Prof. Erez Zadok and collaborating with Prof. Geoff Kuenning and Prof. Scott A. Smolka , I worked on advancing file and storage systems, focusing on model checking and automated testing of kernel file systems.

My work produced tools and frameworks that enhance the correctness, reliability, and functionality of modern storage systems. My Ph.D. dissertation titled “Advancing File System Model Checking: Coverage, Framework, and Scalability” is available here .

Interests

  • Storage Systems
  • Operating Systems
  • Cloud Computing
  • Formal Verification

Education

  • Ph.D. in Computer Science, 2019 - 2025

    Stony Brook University

  • M.Eng. in Computer System Architecture, 2016 - 2019

    Huazhong University of Science and Technology

  • B.Eng. in Computer Science and Technology, 2012 - 2016

    Huazhong Agricultural University

News

  • Aug. 2025: Started working as a Software Engineer at Google Cloud .
  • Jul. 2025: Successfully defended my Ph.D. dissertation; thanks to my committee and advisor.
  • Jul. 2025: A paper on coverage metrics and crash consistency testing was accepted to SYSTOR 2025 .
  • Apr. 2025: A paper on knee/elbow point detection was accepted to the SoftwareX journal.
  • Nov. 2024: Passed my thesis proposal (preliminary exam).
More News

Publications

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Enhanced File System Testing through Input and Output Coverage

Guiding Simulations of Multi-Tier Storage Caches Using Knee Detection

Input and Output Coverage Needed in File System Testing

A Framework for Image Dark Data Assessment

Analysis and Management to Hash-Based Graph and Rank

Research of Web Service Recommendation Using Bayesian Network Reasoning

Selected Awards

FAST ‘24 Student Travel Grant

Best Paper Runner-Up

Outstanding Graduate

Outstanding Graduate

Finalist, Interdisciplinary Contest in Modeling (MCM/ICM)

Award rate: 52/9773 ~0.53%, see the report (in Chinese) on this award, featured in the Changjiang Daily

National First Prize, National Postgraduate Mathematic Contest in Modeling (GMCM)

Won highest award of the contest, award rate: 120/4900 ~2.4%

National First Prize, Contemporary Undergraduate Mathematical Contest in Modeling (CUMCM)

Won highest award of the contest, award rate: 293/22233 ~1.3%

Miscellaneous

To know how to criticize is good, to know how to create is better. – Henri Poincaré

Linux

Contact

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