Plenary and Keynote Speakers


4th International Conference on Statistics: Theory and Applications



The plenary and keynote speakers for the 4th International Conference on Statistics: Theory and Applications will be announce soon. We appreciate your patience!



Dr. Jianqing Fan

Dr. Jianqing Fan
Princeton University, USA
Plenary Speaker

Jianqing Fan is Frederick L. Moore Professor, Princeton University.
After receiving his Ph.D. from the University of California at Berkeley, he has been appointed as professor at the University of North Carolina at Chapel Hill (1989-2003), the University of California at Los Angeles (1997-2000), and professor at the Princeton University (2003–). He was the past president of the Institute of Mathematical Statistics and
International Chinese Statistical Association. He is co-editing _Journal of Business and Economics Statistics _and was the co-editor of
_The Annals of Statistics, Probability Theory and Related Fields, and Journal of Econometrics.
His published work on statistics, economics, finance, and computational biology has been recognized by The 2000 COPSS Presidents’ Award, The 2007 Morningside Gold Medal of Applied Mathematics, Guggenheim Fellow, P.L. Hsu Prize, Royal Statistical Society Guy medal in silver, Noether Senior Scholar Award, and election to Academician of Academia Sinica and follows of IMS, ASA, AAAS and SoFiE.

Topic of Keynote:

Dr. Yi Li

Dr. Yi Li
University of Michigan, USA
Plenary Speaker

Yi Li is a Professor of Biostatistics and Professor of Global Public Health at the University of Michigan (UM). After receiving a Ph.D. from the UM in 1999, he was an Assistant Professor and Associate Professor at the Harvard School of Public Health for 12 years before rejoining the UM to lead a major research center in 2011. He has made important contributions in a wide range of statistical areas, including data science, survival analysis, high-dimensional data analysis, measurement error problems, spatial data analysis, random-effects models, clinical trial design, and high-dimensional data analysis. He has published more than 200 papers in major statistical journals as well as in premium medical journals. He has led or is leading numerous federal projects funded by NIH. He is an ASA fellow, has served as a regular member for several NIH study sessions and is serving as an associate editor for 6 major statistical journals.

Topic of Keynote: Machine Learning for Precision Medicine: Model Selection, Estimation, and Inference
Plenary Abstract

Dr.  Matias D. Cattaneo

Dr. Matias D. Cattaneo
Princeton University, USA
Keynote Speaker

Topic of Keynote:


Dr. Christopher Hans

Dr. Christopher Hans
The Ohio State University, USA
Keynote Speaker

Topic of Keynote:


Dr. Kimberly Sellers

Dr. Kimberly Sellers
Georgetown University, USA
Keynote Speaker

Kimberly F. Sellers, Ph.D. is a Professor of Mathematics and Statistics, specializing in Statistics at Georgetown University in Washington, DC; and a Principal Researcher with the Center for Statistical Research and Methodology Division of the U.S. Census Bureau. Prof. Sellers completed her BS and MA degrees in Mathematics at the University of Maryland College Park, and then obtained her PhD in Mathematical Statistics at The George Washington University. Her research areas of interest and expertise are in generalized statistical methods involving count data that contain data dispersion; and in image analysis techniques, particularly low-level analyses including preprocessing, normalization, feature detection, and alignment. Prof. Sellers held previous faculty positions at Carnegie Mellon University as a Visiting Assistant Professor of Statistics, and the University of Pennsylvania School of Medicine as an Assistant Professor of Biostatistics and Senior Scholar at the Center for Clinical Epidemiology and Biostatistics before her return to the DC area. Sellers is an Elected Member of the International Statistical Institute, and an American Statistical Association (ASA) Fellow. Meanwhile, she is an active contributor to efforts to diversify the fields of mathematical and statistical sciences, both with respect to gender and race/ethnicity. She is the inaugural chairperson of the ASA’s Justice, Equity, Diversity, and Inclusion (JEDI) Outreach Group (serving in 2021-2022), and is a former Chairperson for the ASA’s Committee on Women in Statistics.

Topic of Keynote:


Dr. Jianjun Shi

Dr. Jianjun Shi
Georgia Institute of Technology, USA
Keynote Speaker

Dr. Jianjun Shi is the Carolyn J. Stewart Chair and Professor in the School of Industrial and Systems Engineering, with a joint appointment in the School of Mechanical Engineering, both at Georgia Institute of Technology. He received his B.S. and M.S. in Electrical Engineering from Beijing Institute of Technology in 1984 and 1987, and his Ph.D. in Mechanical Engineering from the University of Michigan in 1992.
Dr. Shi’s research focuses on data enabled manufacturing, and system informatics and control. His methodologies integrate system informatics, advanced statistics, and control theory, and fuse engineering system models with data science methods for design and operational improvements of manufacturing systems. The technologies developed by Dr. Shi’s research group have been implemented in a wide variety of production systems and produced significant economic impacts.
Dr. Shi is a member of National of Academy of Engineering (NAE) of the USA, an Academician of the International Academy for Quality (IAQ), a Fellow of five professional societies, including ASME, IISE, INFORMS, ISI, and SME.

Topic of Keynote: Machine Learning Enabled Quality Improvement in Smart Manufacturing Systems
Keynote Abstract


Dr. Richard O. Sinnott

Dr. Richard O. Sinnott
The University of Melbourne, Australia
Keynote Speaker

Professor Richard O. Sinnott is Professor of Applied Computing Systems at the University of Melbourne. He has been technical lead on a multitude of large-scale international projects with emphasis on big data and security worth over $500m. This includes numerous projects in the defence, intelligence and biomedical domains. He has over 450 peer-reviewed publications across a range of computing and application-specific domains.

Topic of Keynote: A Decade of Lessons Learned in Supporting a National Big Data Platform for Urban Research
Keynote Abstract