Julian Q.

Researcher at Stanford Artificial Intelligence Laboratory (SAIL)
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Contact Information
us****@****om
(386) 825-5501
Location
Stanford, California, United States, US

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Experience

    • United States
    • Software Development
    • 1 - 100 Employee
    • Researcher
      • Oct 2023 - Present

      ML compilers ML compilers

    • United States
    • Software Development
    • 1 - 100 Employee
    • Machine Learning Engineer Intern
      • Jun 2023 - Sep 2023

      Quantization experiments for reducing inference costs Quantization experiments for reducing inference costs

    • United States
    • Software Development
    • 1 - 100 Employee
    • Research Engineer @ CRFM
      • Apr 2023 - Jun 2023

      Worked with Percy Liang on infrastructure for evaluating foundation models Worked with Percy Liang on infrastructure for evaluating foundation models

    • Information Services
    • 1 - 100 Employee
    • Engineer
      • Jan 2023 - Mar 2023

    • United States
    • Higher Education
    • 700 & Above Employee
    • CS 106A Section Leader
      • Sep 2022 - Jan 2023

      Taught a weekly problem-solving section for CS 106A (Programming Methodologies) for a group of 15 students Taught a weekly problem-solving section for CS 106A (Programming Methodologies) for a group of 15 students

    • Canada
    • Software Development
    • 200 - 300 Employee
    • Machine Learning Engineer Intern
      • Jun 2022 - Sep 2022

      Added logit bias to GPT models and reduced GPU memory footprint with weight quantization kernels in FasterTransformer Added logit bias to GPT models and reduced GPU memory footprint with weight quantization kernels in FasterTransformer

    • United States
    • Higher Education
    • 700 & Above Employee
    • Undergraduate Researcher @ Computational Neuroimage Science Lab
      • Apr 2022 - Jun 2022

      Implemented GNNs in PyG and trained them to predict ASD from fMRI data Implemented GNNs in PyG and trained them to predict ASD from fMRI data

    • United States
    • Higher Education
    • 700 & Above Employee
    • Undergraduate Researcher @ Hogan Lab
      • Jun 2021 - Aug 2021

      Built a device to characterize magnetic shielding in a vacuum tube and automated laser power regulation on a Red Pitaya Built a device to characterize magnetic shielding in a vacuum tube and automated laser power regulation on a Red Pitaya

    • United States
    • Aviation & Aerospace
    • 700 & Above Employee
    • FPGA Design and Verification Intern
      • Jun 2019 - Aug 2019

      Learned Verilog Learned Verilog

Education

  • Stanford University
    BS, Computer Science - Systems Track
    2020 - 2024

Community

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