Menglu Yu in

Menglu Yu

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Research Scientist at Meta
📍 Bellevue, Washington, United States

Menglu Yu is a Research Scientist at Meta focusing on machine learning compiler optimization for frameworks like PyTorch 2. 0. A Ph. D. graduate from Iowa State University, her core research involves designing efficient resource allocation algorithms to improve performance in distributed machine learning systems.

During her PhD internship, she extended a model to multi-GPU training, resulting in a 4-5X improvement in Queries Per Second (QPS).

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Experience
8 Years
Current Role
Research Scientist
Location
Bellevue, Washington, United States
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Priorities

Topics Menglu cares about

ML Compiler Optimization
Her current role at Meta involves designing a unified framework based on PyTorch 2. 0 to optimize training and serving efficiency for large models.
Distributed ML Systems
Her PhD research and multiple publications focused on optimizing job scheduling and resource allocation in distributed machine learning environments, especially for GPU clusters.
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Career

Work history

5-2022
Research Scientist
Meta
8-2019 - 5-2022
Research Assistant
Iowa State University
8-2016 - 8-2019
Teaching Assistant
Iowa State University
5-2021 - 8-2021
PhD Software Engineer Intern
Facebook
In the press

Media appearances

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Education
5-2016 - 4-2022
PhD
Iowa State University
2016 - 2019
Master's degree
Iowa State University
Social presence
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Behavioral profile

DISC profile (public)

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