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    Vincent Liu

    Staff Research Engineer at Common Sense Machines

    Vincent Liu is currently a Staff Research Engineer at Common Sense Machines, a position he has held since September 2023. Prior to this, he worked as a Research Engineer at the same company from October 2022 to August 2023, where he focused on pioneering generative 3D technologies using neural radiance fields (nerfs) and diffusion models, integrating self-supervised learning with generative modeling.

    His professional background includes a notable internship at Tesla as a Deep Learning Intern in 2021, where he contributed to the Full Self-Driving beta program. Additionally, he has experience as a Research Assistant at the Stanford Artificial Intelligence Laboratory, where he worked on self-supervised learning and multi-task learning for group robustness, and as a Course Assistant at Stanford University, where he taught on topics related to adversarial text-to-speech and Generative Adversarial Networks.

    Vincent Liu holds both a Master’s degree in Computer Science and a Bachelor’s degree in Mathematics from Stanford University, which he completed between 2017 and 2022, with a leave of absence during the 2020-2021 academic year.1

    Related Questions

    What projects has Vincent Liu worked on at Common Sense Machines?
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    What was Vincent Liu's role at Stanford Artificial Intelligence Laboratory (SAIL)?
    What are Vincent Liu's main research interests in deep neural networks?
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    Vincent Liu
    Vincent Liu, photo 1
    Vincent Liu, photo 2
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    Experience

    Staff Research Engineer at Common Sense Machines (September 2023 - Present)
    Research Engineer at Common Sense Machines (October 2022 - August 2023), Deep Learning Intern (Autopilot AI) at Tesla (June 2021 - September 2021), Research Assistant at Stanford Artificial Intelligence Laboratory (SAIL) (January 2021 - August 2021), Course Assistant at Stanford University (January 2021 - April 2021), Applied Deep Learning Intern (Conversational AI) at NVIDIA (June 2020 - September 2020)

    Education

    MS in Computer Science, BS in Mathematics from Stanford University (2017 - 2022)

    Location

    New York, New York, United States