Key Dates


Gang Li, Ph.D.

Department of Biostatistics
School of Public Health

University of California at Los Angeles

Los Angeles, CA 90095-1772


  • July 2-5, 2018 | Qingdao, Shangdong, China

You are cordially invited to the 2018 ICSA China Conference with the Focus on Data Science!

The 2018 ICSA China Conference with the Focus on Data Science will be held on July 2-5, 2018 at Shangri-La Hotel,9 Xiang Gang Zhong Lu, Qingdao, Shandong, China. This conference is co-sponsored by Ocean University of China.

About the 2018 ICSA China Conference with the Focus on Data Science

2018 ICSA China Conference with the Focus on Data Science will take place in Shangri-La Hotel, Qingdao, Shandong, China during July 2-5, 2018.

It is organized jointly by the International Chinese Statistical Association (ICSA) and Ocean University of China, and co-sponsored by ASA LIDA Interest Group (LIDA-IG) among other organizations. The conference will offers a unique opportunity for statisticians from all over the world to exchange ideas and explore possible research collaborations. It will continue and extend the accomplishment of the previous meetings, and will add a significant value to our continuous efforts to carry out our common mission in the statistical profession.

The program covers a wide range of topics in data science, presenting recent developments and the state of the art in a variety of modern research topics and applications. The program will include:

  • Keynote speeches presented by world-renowned statisticians
  • Invited paper sessions
  • Invited poster sessions

Keynote Speakers

John D. (Jack) Kalbfleisch

Dr. Kalbfleisch is Emeritus Professor of Biostatistics and Statistics at the University of Michigan. He received his Ph.D. in statistics from the University of Waterloo and began his career as assistant professor of statistics at the State University of New York at Buffalo. He was on faculty at the University of Waterloo and served as Chair of the Department of Statistics and Actuarial Science and as Dean of the Faculty of Mathematics. In 2002, he moved to the University of Michigan and served as Chair of the Department of Biostatistics at Michigan and later as Director of the Kidney Epidemiology and Cost Center from until his retirement in 2012. More recently, he has continued to work on various research projects. He has held visiting appointments as Professor at the University of Washington, the University of California at San Francisco, the University of Auckland, Fred Hutchinson Cancer Research Center and the National University of Singapore. He has published in various areas of statistics and biostatistics including life history and survival analysis, likelihood methods of inference, mixture and mixed effects models and medical applications, particularly in the area of renal disease and organ transplantation. Dr. Kalbfleisch is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics. He is also an elected member of the International Statistical Institute, a Fellow of the Royal Society of Canada and a Gold Medalist of the Statistical Society of Canada.

Web site:

Kuang-Kuo Gordon Lan, Ph.D, Senior Director of Quantitative Sciences, Janssen Pharmaceutical Companies of Johnson & Johnson

Gordon Lan received his Ph.D. in Mathematical Statistics from Columbia University. Before joining Johnson & Johnson in 2005, he held positions as Mathematical Statistician at the National Heart, Lung and Blood Institute/NIH, Professor of Statistics at George Washington University, Distinguished Scientist at Pfizer and Statistics Fellow at Sanofi-Aventis.

Gordon has published more than 70 research papers on statistical methods in medical research and has given more than 220 invited talks at universities and professional meetings. His most notable contribution is the development, with DeMets, the alpha spending function approach to the design and interim analysis of clinical trials. Gordon was elected Fellow of the American Statistical Association, and Fellow of the Society for Clinical Trials.

About Local Co-organizer: Ocean University of China

Ocean University of China (OUC, is a comprehensive university with particular strengths in oceanography and fisheries science. OUC has been approved as one of the national key universities included in the list of “Project 985” (for China’s top 40 universities) and “Project 211” (for China’s top 100 universities).

School of Mathematical Science of Ocean University of China ( originated from the Mathematics Department of the Qingdao National University in 1930. It has Mathematics Departments, Informatics and Computational Mathematics Departments, College Mathematics Teaching and Research Center, Mathematics Research Institute and Applied Mathematics Research Center. Currently, with over 67 faculty, 500 undergraduates and 100 graduate students, we offer Mathematics and Statistics with M.S. and Marine Mathematics Technology with Ph.D..