Welcome to the InfiniAI Lab

About

Beidi Chen is an Assistant Professor at Carnegie Mellon University and a Research Scientist at FAIR. Before that, she was a postdoctoral scholar at Stanford University. She received her Ph.D. from Rice University. Her research focuses on efficient AI; specifically, she designs and optimizes algorithms on current hardware to accelerate large machine learning systems. Her work has won best paper runner-up at ICML 2022 and she was selected as a Rising Star in EECS by MIT and UIUC.

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Research

InfiniAI lab’s research develops efficient and scalable AI algorithms and systems. Specifically, we are focusing on

• Long-context Multimodal Modeling and Generation
• Next-Gen Model Architecture beyond Current Scaling Law
• Foundation Model Understanding & Reasoning Enhancement
• Democratized AI with Efficient Algorithm, System and Hardware