Niansheng Tang, Yunnan University

Niansheng Tang（唐年胜)，Professor and Doctoral Supervisor at Yunnan University, recipient of the National Science Fund for Distinguished Young Scholars, Distinguished Professor of the Cheung Kong Scholars Program of the Ministry of Education, National-Level Distinguished Teacher, selected for the National Hundred, Thousand, and Ten Thousand Talents Project, honored as a National "Young and Middle-Aged Expert with Outstanding Contributions," Elected Member of the International Statistical Institute (ISI Elected Member), Fellow of the Institute of Mathematical Statistics (IMS Fellow), member of the Teaching Steering Committee for Statistics and Related Majors in Higher Education Institutions under the Ministry of Education, and member of the 8th and 9th Academic Leadership Group of the Mathematics Tianyuan Fund of the National Natural Science Foundation of China. His research focuses on biostatistics, high-dimensional data analysis, missing data analysis, Bayesian statistics, machine learning, variational inference, and related areas. He has published over 190 academic papers in journals such as JASA, Annals of Statistics, and Biometrika, and has authored 5 academic monographs. He currently serves as an editorial board member or associate editor for journals such as Statistics and Its Interface and Communications in Mathematics and Statistics.

Time: 9:00 AM to 10:00 AM, June 27，2026

Jeremy Taylor, University of Michigan

Jeremy Taylor，Jeremy Taylor, PhD, is the Pharmacia Research Professor of Biostatistics in the School of Public Health and Professor in the Department of Radiation Oncology in the School of Medicine at the University of Michigan, Ann Arbor. He is the director of the University of Michigan Cancer Center Biostatistics Unit and director of the Cancer/Biostatistics training program. He received his B.A. in Mathematics from Cambridge University and his Ph.D. in Statistics from UC Berkeley. He was on the faculty at UCLA from 1983 to 1998, when he moved to the University of Michigan. He has had visiting positions at the Medical Research Council, Cambridge, England; the University of Adelaide; INSERM, Bordeaux and CSIRO, Sydney, Australia. He is a previously winner of the Mortimer Spiegelman Award from the American Public Health Association and the Michael Fry Award from the Radiation Research Society. He has worked in various areas of Statistics and Biostatistics, including Box-Cox transformations, longitudinal and survival analysis, cure models, missing data, smoothing methods, clinical trial design, surrogate and auxiliary variables. He has been heavily involved in collaborations in the areas of radiation oncology, cancer research and bioinformatics.

Time: 10:20 AM to 11:20 PM, June 27, 2026

Annie Qu, University of California

Annie Qu，Starting in July 2025, she will join the University of California, Santa Barbara as a professor in the Department of Statistics and Applied Probability. She earned her Ph.D. in Statistics from Pennsylvania State University in 1998. Professor Qu’s research focuses on fundamental issues in handling unstructured large-scale data, dedicated to developing cutting-edge statistical methods and theories in the field of machine learning. Her research work spans sentiment analysis of text, automatic labeling and summarization, recommendation systems, tensor imaging data, and network data analysis for complex heterogeneous data, aiming to extract key information from massive high-dimensional data. She has received the Brad and Karen Smith Professorial Scholar Award from the College of Liberal Arts and Sciences at the University of Illinois and was honored with the National Science Foundation CAREER Award from 2004 to 2009. She is a Fellow of the Institute of Mathematical Statistics, a Fellow of the American Statistical Association, and a Fellow of the American Association for the Advancement of Science. She currently serves as a co-editor of the Journal of the American Statistical Association: Theory and Methods.

Time: 11:20 AM to 12:20 AM, June 27，2026

The 2026 ICSA China Conference will be held at Southern University of Science and Technology, with the main conference taking place from June 27 to June 29. It is recommended that the participants may make room reservation. The organizing committee has recommended hotels with negotiated rates, but please note that these rates may not necessarily be the lowest. We encourage all participants to compare prices on other platforms to make the most favorable choice for themselves. For hotel information. Please refer to the table below for hotel information.

Special reminder: When booking and checking into hotels, please remind the service personnel that we are here to attend the 2026 ICSA China Conference to avoid missing the negotiation price. Please make reservations as early as possible, preferably by phone.

Hotel Information:

2026国际泛华统计协会中国会议将在南方科技大学举行，主会议将于6月27日至6月29日召开。建议参会者提前预订房间。组委会已推荐了协商价格的酒店，但请注意，这些价格可能并非最低。我们鼓励所有参会者比较其他平台的价格，以做出对自己最有利的选择。有关酒店信息，请参阅下表。

特别提醒：参会人员预订和入住酒店时，请提示服务人员是来参加2026国际泛华统计协会中国会议的，以免错失协议价。请与会人员尽早预定，最好通过电话预定。

酒店信息：