Ph.D. in Applied Mathematics, Princeton University. His main research direction is large-scale unstructured data processing algorithms and systems. He has published several papers in international journals and conferences such as SIAM, JMLR, and ICML, as a leading scholar in AI and applied mathematics in China.

Cheng Tai co-founded Moqi Technology in 2016, dedicated to the construction and industrial application of mathematical frameworks.

Ph.D. in Computer Science, Princeton University. He has published several papers on top conferences of machine learning and system such as KDD, AISTATS, OSDI, and ATC. He has won the first place in the KDD Cup data mining competition and was awarded the best student paper award in CIKM.

Linpeng Tang co-founded Moqi Technology in 2016, responsible for algorithm R&D, system design, and hardware & software development.

Member of the Chinese Academy of Sciences, world-renowned scientist in applied mathematics. His research interests include computational mathematics, applied mathematics and machine learning, with applications in mechanics, physics, chemistry and engineering. He has received the ICIAM Collatz Prize, the ACM Gordon Bell Prize, etc.

As the chief scientist and co-founder of Moqi, Weinan E is responsible for technical guidance and provides support for Moqi's research in AI, ML and mathematical frameworks.

Ph.D. in Computer Science and Engineering, Chinese University of Hong Kong

Qin Liu won the champion of the KDD Cup data mining competition in 2012. Before joining Moqi, he worked at Huawei Noah's Ark Lab, responsible for the research and system works in news recommendation and AI mobile.

Master of Science in Computer Networking and Communications, University of Pennsylvania

Qingdi Zhang was a senior software engineer at Amazon and participated in the development of network automation tools before joining Moqi. He is a winner of the AWS Infra Award.