Yunnan University joins hands to help develop data science

The School of Mathematics and Statistics at Yunnan University, or YNU – located in Kunming, capital of Southwest China's Yunnan province – co-hosted the second Joint Conference on Statistics and Data Science in China on July 12-14 in the city.

The conference is the largest and most influential conference in the field of statistics and data science in the country.

The event included keynote speeches, academic poster exhibitions, corporate stands and recruitment activities. Its aim is to promote China's and international academic exchanges in the fields of statistics and data science, as well as to foster an innovative academic culture.

Ma Huiwen, deputy secretary of the CPC Yunnan University Committee and managing vice president of the university, addresses the opening ceremony of the conference. [Photo/ynu.edu.cn]

The keynote speakers featured prominent figures such as Jianqing Fan, former president of the International Mathematical Statistics Society and a foreign member of the Royal Academy of Sciences of Belgium. Also speaking was Frederick L. Moore, a finance professor at the prestigious Princeton University in the US, who spoke on "Neural Causal AI: Adversarial Invariance Learning from Heterogeneous Environments".

Kathryn Roeder, a member of the National Academy of Sciences in the US and a professor at Carnegie Mellon University, presented a paper on "Genomic Testing in the Presence of Unmeasured Confounding and Missing Data".

Additionally, Feng Jianfeng, chief scientist at the Shanghai Mathematical Center and a professor at Fudan University, delivered a keynote talk entitled "Multi-Scale Spatial-Temporal Data in Brain Science: Data, Model and Theory".

In recent years, Yunnan University has conducted research into statistical theory, methods and algorithms in specialized areas. This is said to have comprehensively enhanced the university's capabilities and standards in training talent, scientific research, social services and international exchanges and collaborations in the field of statistics.