Person
New York City, United States
Aaron's research focuses on improving the practice of machine learning through the development of more reliable and theoretically sound methods such as ...
Research Area:
Core Machine Learning
Speech & Audio
Adeel is a software engineer working on transparency & control within Meta’s Responsible AI pillar. He focuses on creating product experiences to expl...
Adina is a Research Scientist at Facebook AI Research in NYC (started October 2018). Previously, she earned her PhD at New York University in the Depart...
Human & Machine Intelligence
NLP
Ann is a Research Engineer at Facebook AI Research (FAIR), focusing on speech recognition. She earned a Ph.D. at MIT's Spoken Language Systems group, wh...
Brandon is a research scientist at Facebook AI Research (FAIR), working on machine learning, reinforcement learning, optimization, and control. His curr...
Reinforcement Learni9ng
Changhan is a research engineer at Facebook AI Research in New York, focusing on natural language and speech processing. He earned an M.S. in computer s...
Daniel Jiang is a Research Scientist at Meta, where he focuses on reinforcement learning and its applications. More broadly, his research interests are ...
New York, United States
I am currently serving as a Research Engineer at the FAIR team within Meta AI. Since joining the team in 2018, I have had the opportunity to delve into ...
Douwe is a Research Scientist at Facebook AI Research in New York. He received his Ph.D. and M.Phil. from the University of Cambridge. Prior to that, Do...
Emily is a Research Engineer at Facebook AI Research in New York. She graduated with a Master's degree in Mathematics from the University of Washington....
Graphics
Eric is a Research Engineer at Facebook AI Research (FAIR). Prior to FAIR, he was a machine learning engineer at Blue Apron, where he created and mainta...
Conversational AI
Felix Juefei Xu is a Research Scientist with GenAI at Meta, based in New York City, where he works on robust perception and efficient learning problems ...
Computer Vision
Product experiences
Foundational models
Our approach
Research
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