Zhixiang Ren is currently a research scientist and the head of the “AI for Science Lab” at Peng Cheng Laboratory. He serves concurrently as a Ph.D. Supervisor at Southern University of Science and Technology and a Joint Ph.D. Supervisor with Tsinghua University. He holds a Ph.D. from University of New Mexico (Albuquerque, USA) and has conducted research at both the University of New Mexico and Sun Yat-sen University. His research focuses on AI for Science and deep learning, multimodal representation learning, deep generative models and agentic AI. He has published over 60 papers in journals including Nature Machine Intelligence, Briefings in Bioinformatics and IEEE Transactions, accumulating over 8,000 citations (H-index 29), and holds 6 Chinese national invention patents (granted) as well as 5 software copyright registration certificates. He has received the 2024 AI Innovation Award and 2023 Guangdong Province Science and Technology Progress Award Special Prize. He has led the development of 1 international standard (ITU-T F.748.18) and 2 industry standards (T/AI 118.1—2022, T/AI 118.2—2022) in intelligent computing. He has also directed the AI computing performance evaluation for the large-scale AI cluster (Pengcheng Cloud-Brain II). He serves as an associated editor of “Big Data Mining and Analytics,” “CAAI Artificial Intelligence Research,” and “Frontiers in Big Data,” and regularly reviews for journals such as Nature Communications and several IEEE Transactions.

Research Interests:

Deep learning

AI for science

Bioinformatics

Drug discovery

Multimodal large models and AI agents

Contact information:jason dot zhixiang dot ren at outlook dot com