Introduction to DeepSeek core team members

The core team members of DeepSeek include many elites from well-known domestic universities. Among them, founder Liang Wenfeng graduated from Zhejiang University with a master's degree in information and electronic engineering. Gao Huazuo graduated from the Department of Physics of Peking University and made key innovations to the MLA architecture of DeepSeek-V2. Zeng Wangding is from Beijing University of Posts and Telecommunications and has made important contributions to the innovation of the MLA architecture of DeepSeek-V2. Shao Zhihong is a doctoral student in the Tsinghua Interactive Artificial Intelligence (CoAI) research group and has participated in multiple projects. Zhu Qihao is a 2024 doctoral graduate of the Software Research Institute of the School of Computer Science and Technology of Peking University, and led the development of DeepSeek-Coder-V1. Dai Daming graduated with a doctorate from the Institute of Computational Linguistics of the School of Computer Science and Technology of Peking University in 2024 and participated in the work from DeepSeek LLM v1 to DeepSeek-v3. Wang Bingxuan is a master of Yuanpei College of Peking University. After joining DeepSeek, he participated in a series of important work starting from DeepSeek LLM v1. Zhao Chenggang is a student at Tsinghua University. He has won the World University Supercomputing Competition three times and works as a training and reasoning infrastructure engineer at DeepSeek. Wu Ya graduated with a doctorate from Beihang University in 2019 and leads the post-training team of DeepSeek. Guo Daya is a 2023 doctoral student jointly trained by Sun Yat-sen University and MSRA. He joined DeepSeek in July 2024 and participated in the work of mathematics and code large models. Luo Fuli graduated with a bachelor's degree in computer science from Beijing Normal University and a master's degree in computational linguistics from Peking University. She worked at Alibaba Damo Academy and joined DeepSeek in 2022 to participate in the research and development of DeepSeek-V2.