Beidi Chen in

Beidi Chen

Visiting Scholar at Amazon
📍 Pittsburgh, Pennsylvania, United States

Beidi Chen is an Assistant Professor at Carnegie Mellon University and an Amazon Scholar specializing in efficient machine learning. Holding a Ph. D. from Rice University, her research focuses on designing algorithms and models on modern hardware to accelerate large-scale AI systems, with a particular emphasis on efficient large language models.

Beidi is passionate about mentoring students and early-career researchers, citing it as a primary motivation for her career in academia. She values the freedom to explore novel research directions and actively fosters collaboration between academic research and industrial partners to solve tangible, real-world problems.

In 2025, she was an inaugural recipient of the Google ML and Systems Junior Faculty Award and also received the prestigious Google Scholar Award.

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Current Role
Visiting Scholar
Location
Pittsburgh, Pennsylvania, United States
Personality Overview
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Priorities

Topics Beidi cares about

Efficient LLM Inference
Her research focuses on reducing latency and memory in LLMs through methods like KV cache optimization and contextual sparsity, as seen in her work on H2O and StreamingLLM.
ML Systems (MLSys)
She is highly active in the MLSys community, recruiting Ph. D. students in the field, chairing workshops, and speaking at events like the Young Professionals Symposium.
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Career

Work history

5-2025
Visiting Scholar
Amazon
8-2023
Assistant Professor
Carnegie Mellon University
8-2022 - 8-2024
Visiting Researcher
Meta
8-2020 - 8-2022
Postdoctoral Researcher
Stanford University
2-2019 - 5-2020
Machine Learning Research Intern
NVIDIA
In the press

Media appearances

Beidi Chen - Amazon Science. Featured in Amazon Science
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Education
2015 - 2020
Doctor of Philosophy (Ph.D.)
Rice University
8-2011 - 5-2015
Education details unavailable
University of California, Berkeley
Social presence
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