Carole-Jean Wu
RESEARCH SCIENTIST | CAMBRIDGE, UNITED STATES
Carole-Jean Wu is a Research Scientist at Facebook’s AI Research. Carole's research focuses in the area of Computer and System Architectures, in particular, on designing high-performance and energy-efficient computer systems through domain-specific architectures, heterogeneity-aware optimization, energy harvesting techniques, temperature and energy management for portable electronics, and memory subsystem design and optimization. More recently, Carole-Jean's research has pivoted into designing systems for machine learning execution at-scale, such as for personalized recommender systems and mobile deployment. She chairs the MLPerf Recommendation Benchmark Advisory Board and co-chairs MLPerf Inference, a multi-industry benchmarking consortium for machine learning. She completed her M.A. and Ph.D. degrees from Princeton University and received a B.Sc. degree from Cornell University. She is the recipient of the NSF CAREER Award, Facebook AI Infrastructure Mentorship Award, the IEEE Young Engineer of the Year Award, the Science Foundation Arizona Bisgrove Early Career Scholarship, and the Intel PhD Fellowship, among a number of Best Paper awards.
Carole-Jean's Publications
April 16, 2026
RESEARCH
AIRA₂: Overcoming Bottlenecks in AI Research Agents
Nicola Cancedda, Pontus Stenetorp, Alexis Audran-Reiss, Alisia Lupidi, Anton Protopopov, Bassel Al Omari, Carole-Jean Wu, Derek Dunfield, Despoina Magka, Edan Toledo, Hela Momand, Ishita Mediratta, Jakob Foerster, Jean-Christophe Gagnon-Audet, Karen Hambardzumyan, Kelvin Niu, Martin Josifoski, Michael Kuchnik, Michael Shvartsman, Nicolas Baldwin, Parth Pathak, Rishi Hazra, Tatiana Shavrina, Thomas Simon Foster, Yoram Bachrach
April 16, 2026
November 11, 2025
COMPUTER VISION
SYSTEMS RESEARCH
CATransformers: Carbon Aware Transformers Through Joint Model-Hardware Optimization
Irene Wang, Mostafa Elhouishi, Divya Mahajan, Bilge Acun, Carole-Jean Wu, Daniel Jiang, Ekin Sumbul, Newsha Ardalani, Samuel Hsia
November 11, 2025
February 28, 2025
SYSTEMS RESEARCH
Revisiting Reliability in Large-Scale Machine Learning Research Clusters
Apostolos Kokolis, Adithya Kumar, Carole-Jean Wu, Faye Ma, John Hoffman, Kalyan Saladi, Michael Kuchnik, Parth Malani, Shubho Sengupta, Zachary DeVito
February 28, 2025
December 12, 2024
CORE MACHINE LEARNING
SYSTEMS RESEARCH
Croissant: A Metadata Format for ML-Ready Datasets
Mubashara Akhtar, Omar Benjelloun, Costanza Conforti, Luca Foschini, Pieter Gijsbers, Joan Giner-Miguelez, Sujata Goswami, Nitisha Jain, Michalis Karamousadakis, Satyapriya Krishna, Sylvain Lesage, Quentin Lhoest, Pierre Marcenac, Manil Maskey, Peter Mattson, Luis Oala, Hamidah Oderinwale, Pierre Ruyssen, Tim Santos, Rajat Shinde, Elena Simperl, Arjun Suresh, Goeffry Thomas, Slava Tykhonov, Joaquin Vanschoren, Susheel Varma, Jos van der Velde, Steffen Vogler, Luyao Zhang, Michael Kuchnik, Carole-Jean Wu
December 12, 2024
June 14, 2024
NLP
SYSTEMS RESEARCH
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding
Mostafa Elhoushi, Ahmed Aly, Akshat Shrivastava, Basil Hosmer, Beidi Chen, Bilge Acun, Bram Wasti, Carole-Jean Wu, Diana Liskovich, Liangzhen Lai, Ahmed Roman, Nas Mahmoud, Saurabh Agarwal
June 14, 2024
June 07, 2024
CORE MACHINE LEARNING
SYSTEMS RESEARCH
Beyond Efficiency: Scaling AI Sustainably
Carole-Jean Wu, Bilge Acun, Kim Hazelwood, Ramya Raghavendra
June 07, 2024
June 03, 2024
SYSTEMS RESEARCH
CHAI: Clustered Head Attention for Efficient LLM Inference
Saurabh Agarwal, Bilge Acun, Basil Hosmer, Carole-Jean Wu, Mostafa Elhoushi, Yejin Lee
June 03, 2024
April 26, 2023
CORE MACHINE LEARNING
SYSTEMS RESEARCH
Green Federated Learning
Kiwan Maeng, Ashkan Yousefpour, Ashish Shenoy, Carole-Jean Wu, Ilya Mironov, Mike Rabbat, Pierre Stock, Sayan Ghosh, Schalk Krüger, Shen Guo
April 26, 2023
July 12, 2022
Carbon Dependencies in Datacenter Design and Management
Bilge Acun, Aditya Sundarrajan, Benjamin Lee, Carole-Jean Wu, David Brooks, Fiodar Kazhamiaka, Kiwan Maeng, Manoj Chakkaravarthy
July 12, 2022
June 13, 2022
ACT: Designing Sustainable Computer Systems With An Architectural Carbon Modeling Tool
Carole-Jean Wu, David Brooks, Hsien-Hsin Sean Lee, Udit Gupta, Gage Hills, Gu-Yoen Wei, Mariam Elgamal
June 13, 2022
April 26, 2022
PAPAYA: PRACTICAL, PRIVATE, AND SCALABLE FEDERATED LEARNING
John Nguyen, Anthony Shoumikhin, Ashkan Yousefpour, Carole-Jean Wu, Dzmitry Huba, Harish Srinivas, Hongyuan Zhan, Jesik Min, Kaikai Wang, Kshitiz Malik, Mani Malek, Mike Rabbat, Pavel Ustinov, Ruiyu Zhu
April 26, 2022
April 02, 2022
Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation
Liu Ke, Carole-Jean Wu, Hsien-Hsin Sean Lee, Udit Gupta, Mark Hempstead, Xuan Zhang
April 02, 2022
Our approach
Latest news
Foundational models
Meta © 2026