Experience

  1. Research Scientist

    Meta
    I am working on Meta’s Generative Ads Recommendation Model (GEM). My focus is on designing and implementing novel transfer learning paradigms to amplify the impact of foundation models within production environments. Additionally, I am working on optimizing the efficiency and performance of GEM’s ecosystem.
  2. Software Engineering Intern

    Applovin
    Developed and improved AXON machine learning infrastructure and models to enhance the ads bidding system.
  3. Software Engineering Intern

    Google
    Improved routing in the software-defined network (SDN) in Google’s data center network interface, to enhance long-running tasks such as machine learning (ML) and large language model (LLM) training.
  4. Research Assistant

    Yale University
    • Led multi-year research projects focused on improving the security and privacy of quantum computing.
    • Gained expertise in quantum and cloud computing, such as IBM Cloud, Amazon Web Services, and Microsoft Azure.
    • Collaborated with faculties, students, and researchers from Yale, MIT, Princeton, Technology Innovation Institute, etc.
    • Published and presented research findings at top peer-reviewed conferences, workshops, and seminars.

Education

  1. Doctor of Philosophy

    Yale University

    “My research focused on quantum computing and computer security, where I designed novel attacks and defenses targeting quantum computers and quantum cloud providers. Specifically, my work explored security and privacy across the entire technology stack of quantum computers:

    1. Investigating vulnerabilities in quantum processors and qubit technologies.
    2. Developing secure and private quantum computer systems and architecture.
    3. Ensuring the security of quantum algorithms, with a focus on quantum machine learning (QML).”
    Download dissertation
  2. Master of Philosophy & Master of Science

    Yale University
  3. Bachelor of Science

    University of Science and Technology of China (USTC)
Skills & Hobbies
Awards
Languages
100%
Chinese Native
80%
English Fluent
60%
Japanese Advanced
40%
Korean Basic