PeopleofSuperintelligence

Researcher

Beidi Chen

Beidi Chen is an AI researcher who works on efficient machine learning. She earned degrees at UC Berkeley and Rice, did postdoctoral work at Stanford, and joined Carnegie Mellon University's ECE faculty in Fall 2023. Her work includes Monarch structured matrices, FlexGen for large language model inference on limited GPU memory, and later methods for structured sparsity and reinforcement learning rollouts. She received Google's Machine Learning and Systems Junior Faculty Award in 2025. As of October 2026, she is an assistant professor at CMU and a visiting research scientist at Meta's FAIR.

Timeline

  1. 2015–2020

    UC Berkeley and Rice degrees

    She earns a B.S. in electrical engineering and computer science from UC Berkeley in 2015 and completes a Ph.D. in computer science at Rice University in 2020.

  2. 2022

    Monarch and an ICML honor

    In 2022, she coauthors Monarch: Expressive Structured Matrices for Efficient and Accurate Training, which introduces hardware-efficient structured matrices for neural-network training and fine-tuning. The paper earns an ICML Outstanding Paper Runner Up award.

  3. 2023

    Joining Carnegie Mellon

    In Fall 2023, she joins Carnegie Mellon's Department of Electrical and Computer Engineering as an assistant professor. Before the move, she holds a postdoctoral scholar appointment at Stanford University. Her research focuses on efficient machine learning.

  4. 2023

    FlexGen for one GPU

    In 2023, she coauthors FlexGen, a high-throughput generation engine for large language models with limited GPU memory. It pools memory and computation from the GPU, CPU, and disk to meet different hardware constraints.

  5. 2024

    Structured sparsity for LLMs

    In 2024, she coauthors Learn To be Efficient, a training method that encourages LLMs to activate fewer neurons through structured sparsity. Its hardware-aware kernel reduces LLaMA2-7B inference latency by 25% at 50% sparsity.

  6. 2025

    Google faculty award

    In July 2025, she becomes an inaugural recipient of Google's Machine Learning and Systems Junior Faculty Award with CMU colleague Akshitha Sriraman.

  7. 2025

    Efficient LLM reasoning

    She coauthors Act Only When It Pays in 2025, which introduces GRESO, a pre-rollout filter that skips uninformative prompts for large language model reasoning.

  8. As of October 2026

    Professor at Carnegie Mellon

    As of October 2026, she is an assistant professor in Carnegie Mellon's Department of Electrical and Computer Engineering and a visiting research scientist at Meta's FAIR.

Career

  1. Since 2023Carnegie Mellon UniversityAssistant Professor
  2. NowFAIR (Meta)Visiting Research Scientist
  3. Until 2023Stanford UniversityPostdoctoral Scholar

Education

  1. 2020Rice UniversityPh.D.
  2. 2015University of California, BerkeleyB.S.

From the biography.

Videos

YouTube videos in which Beidi Chen speaks or appears, newest first. A model chose them from YouTube search results. List updated 21 October 2026.

  1. SLIDE: Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning with Beidi Chen...The TWIML AI Podcast with Sam Charrington · 12 March 2020 · 30 min

Video data from YouTube API Services. By watching you agree to the YouTube Terms of Service. How we use YouTube data.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Carnegie Mellon University. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  2. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Meta. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  3. Google has the highest combined h-index among AI organizationsIncludes Carnegie Mellon University. We estimate that Google holds the highest combined h-index at 8,016, while universities account for 73% of the deduplicated total across AI organizations.
  4. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Carnegie Mellon University. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Beidi Chen yet. Send us a free-licensed photo.

  1. Beidi Chen - Electrical and Computer Engineering - College of Engineering - Carnegie Mellon University ece.cmu.edu. Checked 20 October 2026.
  2. Monarch: Expressive Structured Matrices for Efficient and Accurate Training proceedings.mlr.press. Checked 20 October 2026.
  3. ICML 2022 Awards icml.cc. Checked 20 October 2026.
  4. Beidi Chen Home Page andrew.cmu.edu. Checked 20 October 2026.
  5. FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU proceedings.mlr.press. Checked 20 October 2026.
  6. Learn To be Efficient: Build Structured Sparsity in Large Language Models arxiv.org. Checked 20 October 2026.
  7. Chen and Sriraman Receive Inaugural Google Award - Electrical and Computer Engineering - College of Engineering - Carnegie Mellon University ece.cmu.edu. Checked 20 October 2026.
  8. Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts arxiv.org. Checked 20 October 2026.
  9. Beidi Chen | Carnegie Mellon University Computer Science Department csd.cmu.edu. Checked 20 October 2026.