As a crucial branch of data science, causal inference has found extensive
applications across diverse fields, including medicine, economics, social sciences, and
finance. With the rapid advancements in big data, artificial intelligence, and machine
learning technologies—particularly the integration of large language models into causal
inference—the field has gained increasing attention. Its applications in science,
technology, and industry are expanding rapidly, presenting unprecedented opportunities
and challenges for research and practice.
The Pacific Causal Inference Conference (PCIC), established in 2019 by
Dr. Xiao-Hua Zhou, Distinguished Chair Professor at Peking University, Chair of the
Department of
Biostatistics at the School of Public Health, and Director of the Biostatistics and
Informatics Research Center at the Beijing International Center for Mathematical
Research, has become an annual academic event in the causal science community. Dedicated
to exploring the latest developments in causal inference across various domains, PCIC
has successfully hosted six editions in Beijing and Shanghai from 2019 to 2024. In 2024,
the conference expanded its reach by organizing the Causal Inference Forum at the World
Artificial Intelligence Conference (WAIC), further cementing its reputation as a leading
academic conference in the field.
To foster continued academic exchange, explore
theoretical advancements, and promote the practical application of causal inference
across disciplines, the 7th Pacific Causal Inference Conference (PCIC 2025) will be held
in Beijing from July 5 to 6, 2025. As an international
academic platform, PCIC 2025 will bring together leading experts and scholars in the
causal inference community to facilitate cross-disciplinary collaboration, advance
theoretical research, and drive innovative applications across industries.
We
warmly invite experts and scholars from around the world to join PCIC
2025 and contribute to the advancement of the field of causal inference!
Asst. Prof. Xiaowu Dai
University of California, Los Angeles, USA
Asst. Prof. Rui Duan
Harvard University, USA
Prof. Erin Evelyn Gabriel
University of Copenhagen, Denmark
Dr. Wei Huang
The University of Melbourne, Australia
Mr. Remi Khellaf
Inria, France
Assoc. Prof. Chanmin Kim
SungKyunKwan University, Korea
Mr. Haoxuan Li
Peking University, China
Assoc. Prof. Wei Li
Renmin University of China, China
Mr. Ziming Lin
University of Washington, USA
Asst. Prof. Kuan Liu
University of Toronto, Canada
Assoc. Prof. Lin Liu
Shanghai Jiao Tong University, China
Dr. Yu Luo
Kings College London, UK
Asst. Prof. Kosuke Morikawa
Iowa State University, USA
Prof. Ryo Okui
University of Tokyo, Japan
Asst. Prof. Shunichiro Orihara
Tokyo Medical University, Japan
Prof. James M. Robins
Harvard Chan, Harvard University, USA
Prof. Donald B. Rubin
Harvard University, USA
Dr. Xinwei Shen
ETH Zurich, Switzerland
Assoc. Prof. Xu Shi
University of Michigan, USA
Assoc. Prof. Tomohiro Shinozaki
Tokyo University of Science, Japan
Ms. Yilin Song
University of Washington, USA
Asst. Prof. Xinwei Sun
Fudan University, China
Mr. Chengyao Tang
Osaka University, Japan
Asst. Prof. Jingshu Wang
The University of Chicago, USA
Assoc. Prof. Linbo Wang
University of Toronto, Canada
Dr. Tian-Zuo Wang
Nanjing University, China
Asst. Prof. Yuhao Wang
Tsinghua University, China
Asst. Prof. Ruoxuan Xiong
Emory University, USA
Dr. Jay Xu
University of Toronto, Canada
Dr. Mengxin Yu
University of Pennsylvania, USA
Prof. Donglin Zeng
University of Michigan, USA
Asst. Prof. Ruohan Zhan
Hong Kong University of Science and Technology, Hong Kong, China
Asst. Prof. Doudou Zhou
National University of Singapore, Singapore
Prof. Xiao-Hua Zhou
Peking University, China
TBD
