The Frontier Forum on AI-Enabled Big Data Analytics in Life and Health was held at the Chern Institute of Mathematics, Nankai University from November 7 to 9, 2025. Organized by the Chern Institute of Mathematics, the event brought together scholars and students from Tsinghua University, Shanghai Jiao Tong University, and many other universities and research institutes nationwide. The Forum was dedicated to exploring cutting-edge developments in applying AI to the big data analytics in life and health, and promoting the further integration and advancement in related research fields.
The Forum features a total of 27 academic talks, including 9 invited talks and 18 early-career scholar talks. It gathered a distinguished group of invited speakers from around the country, including Professor Lin Gao (Xidian University), Professor Maozu Guo (Beijing University of Civil Engineering and Architecture), Professor Hongbin Shen (Shanghai Jiao Tong University), Professor Anyuan Guo (Sichuan University), Professor Xiaowo Wang (Tsinghua University), Professor Chunhou Zheng (Anhui University), Professor Xiaochen Bo (Academy of Military Science), Professor Min Li (Central South University), and Professor Fang Zhang (Beijing Institute of Technology). Many faculty members and students of Nankai University also participated at the event, including Professor Chengming Bai, the director of the Chern Institute of Mathematics (Nankai University), Professor Shuilin Jin (Harbin Institute of Technology), Professor Ran Su (Tianjin University), Professor Hebing Chen (Academy of Military Science), and Professor Pufeng Du (Tianjin University).
The talks focused on cutting-edge interdisciplinary topics between AI and life sciences, while the early-career scholar sessions also covered advances in areas such as single-cell DNA methylation data analysis and foundational single-cell models.
The Forum provided an excellent platform for experts and scholars to exchange ideas and insights, showcasing the cutting-edge outcomes and vast potential of AI in analyzing complex life and health data.
