QUAN Donghui holds a Bachelor's and Master's degree from the University of Science and Technology of China and a Ph.D. from the Ohio State University in the United States. He is currently the Deputy Director of Scientific Research at the Zhejiang Lab's Research Center for Astronomical Computing. QUAN has been engaged in scientific research in astrophysics and astrochemistry, focusing on the theoretical study of interstellar molecules. He has developed multiple reaction network models based on chemical reaction dynamics for complex and diverse astronomical systems, covering about ninety percent of the interstellar molecules or ions detected, revealing their formation and consumption mechanisms. He has published multiple papers in prestigious international journals such as Nature Communications, ApJS, ApJ, and MNRAS.

WANG Yongheng is a Ph.D. in Computer Science and Technology from the National University of Defense Technology and a post-doctoral fellow in Systems Engineering. He currently serves as the Deputy Director of Scientific Research at the Zhejiang Lab's Research Center for Astronomical Computing, Vice Secretary-General of the Cyberspace Big Search Committee of the Chinese Information Processing Society of China, and a committee member of the Visual Analysis Committee of the China Society of Image and Graphics. His main research areas are big data analysis, knowledge computing, and intelligent decision-making. He has led over ten projects, including those funded by the National Natural Science Foundation of China, the Ministry of Science and Technology, and targeted research projects of Zhejiang Lab, with funding exceeding RMB 60 million. He has published over 40 high-level papers on big data, machine learning, and intelligent decision-making. His team has developed major analytical and decision-making platforms such as the "Jianwei Big Data Intelligent Interactive Analysis Platform" and the "Jianwei Social System Simulation and Deduction Platform", achieving several advanced technologies that are leading at both international and national levels and have been applied in fields such as social governance, digital economy, and national security. He is currently leading the team in developing an astronomical big data processing and analysis platform to support major national scientific projects.

CAI Tingni, female, assistant researcher, Ph.D. in astrophysics from the University of Chinese Academy of Sciences, is currently the administrative deputy Director of the Astronomical Computing Research Center of Zhijiang Laboratory.

DUAN Manni, female, Ph.D. in Signal Processing and Information System at the University of Science and Technology of China, and a senior Engineering Expert and Associate Research Fellow at the Research Center for Astronomical Computing of Zhejiang Lab. She is mainly engaged in research on computer vision, large-scale image retrieval, multimodal vision models, and application architecture. In 2009, she joined Alibaba Group as a senior algorithm expert in charge of the first content-based image monitoring system. Over the years, her team completed several large-scale AI projects of Alibaba Group, such as the original design protection system for commodity images, FashionAI, and one-stop vision model production system. She joined Zhejiang Lab in July 2022 and is currently in charge of the CSST data processing system, astronomical foundation models and intelligent agents at the Research Center for Astronomical Computing

FENG Yi, male, serves as a Research Expert at the Research Center for Astronomical Computing of Zhejiang Lab. His primary research interests include fast radio bursts, gravitational waves, pulsars, star formation, and astronomical intelligent computing. His contributions to the area of fast radio bursts, in particular, have significantly impacted the academic community. He has authored over 50 papers, including 2 in the journal Science (both as the first author) and 4 in the journal Nature (one of which lists him as the sole first author). His sole first-author paper in Science was recognized as one of "China's Top Ten Scientific Advances for 2022." He has received numerous honors, including the First Prize of the Beijing Natural Science Award (as the second contributor), the DAMO Academy Young Fellow, the 2022 Outstanding Science and Technology Achievement Prize of the Chinese Academy of Sciences, and the "Star of the Future" Innovation Breakthrough Award from Hangzhou Future Sci-Tech City. Additionally, he was selected as one of the MIT Technology Review Innovators Under 35 Asia Pacific in 2023, named one of the "Ten Outstanding Young People of Hangzhou," and recognized as one of the "Top 20 Emerging Talents in Science and Technology of 2022."

ZHANG Heng holds a Ph.D. in Computer Science and Technology from Tsinghua University. He has served as an Associate Professor at Huazhong University of Science and Technology and Tianjin University and is currently a Research Expert at Zhejiang Lab's Research Center for Astronomical Computing. He has long been engaged in research in the foundational theories of knowledge computing and AI, solving a series of important open problems in the expressiveness of knowledge representation mechanisms and the complexity and algorithms of knowledge reasoning. He has published more than 20 papers at top conferences and journals in the field of computer science. His current main research interests include automated scientific discovery and the automatic generation and verification of scientific hypotheses.

Pavel Smirnov holds Bachelor's and Master's degrees from Ulyanovsk State Technical University in Russia, and a Ph.D. from Samara National Research University in Russia. He currently works at Zhejiang Lab as an Engineering Expert. He specializes in research and development within the fields of computer vision and image processing. Throughout his career, Smirnov Pavel has developed multiple cutting-edge solutions for Optical Character Recognition (OCR) and Image Enhancement, among other areas of expertise.

WANG Jun, male, Ph.D. from the National University of Defense Technology, and currently an Engineering Expert at Zhejiang Lab. He has long been engaged in the research and application of key technologies such as AI & big data, video image processing, intelligent planning and scheduling. More recently, he has focused on multi-band data fusion, intelligent data indexing, and system-level feedback-based optimization. He published over 40 high-level papers, obtained 5 invention patents, and won 3 ministerial or provincial technology progress awards, including first prizes.