Julian Q.
Researcher at Stanford Artificial Intelligence Laboratory (SAIL)- Claim this Profile
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Bio
Experience
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Stanford Artificial Intelligence Laboratory (SAIL)
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United States
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Software Development
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1 - 100 Employee
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Researcher
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Oct 2023 - Present
ML compilers ML compilers
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MosaicML
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United States
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Software Development
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1 - 100 Employee
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Machine Learning Engineer Intern
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Jun 2023 - Sep 2023
Quantization experiments for reducing inference costs Quantization experiments for reducing inference costs
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Stanford Artificial Intelligence Laboratory (SAIL)
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United States
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Software Development
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1 - 100 Employee
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Research Engineer @ CRFM
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Apr 2023 - Jun 2023
Worked with Percy Liang on infrastructure for evaluating foundation models Worked with Percy Liang on infrastructure for evaluating foundation models
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Chord
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Information Services
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1 - 100 Employee
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Engineer
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Jan 2023 - Mar 2023
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Stanford University
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United States
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Higher Education
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700 & Above Employee
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CS 106A Section Leader
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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
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Cohere
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Canada
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Software Development
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200 - 300 Employee
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Machine Learning Engineer Intern
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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
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Stanford University School of Medicine
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United States
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Higher Education
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700 & Above Employee
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Undergraduate Researcher @ Computational Neuroimage Science Lab
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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
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Stanford University
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United States
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Higher Education
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700 & Above Employee
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Undergraduate Researcher @ Hogan Lab
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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
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Boeing
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United States
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Aviation & Aerospace
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700 & Above Employee
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FPGA Design and Verification Intern
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Jun 2019 - Aug 2019
Learned Verilog Learned Verilog
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Education
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Stanford University
BS, Computer Science - Systems Track