Chuan Li
About Chuan Li
Chuan Li serves as the Chief Scientific Officer at Lambda Labs, where he has worked since 2017. He holds a PhD in Computer Science from the University of Bath and has extensive experience in research and machine learning across various prestigious institutions.
Current Role at Lambda Labs
Chuan Li serves as the Chief Scientific Officer at Lambda Labs, a position he has held since 2017. In this role, he is responsible for leading scientific initiatives and overseeing research projects within the organization. His tenure at Lambda Labs has been marked by a focus on advancing machine learning technologies and enhancing the capabilities of the company's products.
Educational Background
Chuan Li has a solid educational foundation in computer science and software engineering. He earned a Doctor of Philosophy (PhD) in Computer Science from the University of Bath, where he studied from 2006 to 2010. Prior to this, he obtained a Bachelor of Engineering (B.Eng.) in Software Engineering from Zhejiang University, completing his studies from 2001 to 2005.
Previous Research Positions
Before joining Lambda Labs, Chuan Li held several research positions. He worked as a Postdoctoral Researcher at Utrecht University from 2013 to 2014 and at the Max Planck Institute for Informatics for five months in 2013. Additionally, he served as a Research Associate at the University of Mainz from 2015 to 2017 and as a Postdoctoral Research Officer at the University of Bath from 2010 to 2013.
Consulting Experience
Chuan Li has experience as a consultant in the field of machine learning. He worked for A^3 by Airbus as a Machine Learning Consultant for seven months in 2017, based in Santa Clara, California. This role involved applying his expertise to enhance machine learning applications within the aerospace industry.
Publications and Research Contributions
Chuan Li has contributed to the field through various publications. His work includes articles on topics such as unleashing the power of Transformers with the NVIDIA Transformer Engine, benchmarking ZeRO-Inference on the NVIDIA GH200 Grace Hopper Superchip, and DeepChat 3-Step Training at Scale using NVIDIA H100 SXM5 vs A100 SXM4. These publications reflect his research interests and expertise in machine learning and artificial intelligence.