Keynote Speaker

Dr. Wendy Martinez: President-Elect, American Statistical Association, Director, Mathematical Statistics Research Center Office of Survey Methods Research, Bureau of Labor Statistics, United States of America

Biography: Dr. Wendy Martinez is the president of the American Statistical Association for the year 2020 and directs the Mathematical Statistics Research Center of the U.S. Bureau of Labor Statistics. She is also the coordinating editor of the journal Statistics Surveys (jointly sponsored by four major statistical societies). Her research interest includes computational statistics, exploratory data analysis, data visualization, outlier detection, statistical pattern recognition, spatial statistics, and the analysis of unstructured text. She published several books and over 30 publications in the field of computational statistics and data visualization and analysis. Dr. Martinez was elected a Fellow of the American Statistical Association in 2006, and a member of the International Statistical Institute in 2007. She has received many awards including the Founders Award (2017) of the American Statistical Association, for outstanding leadership and support of statistical and multidisciplinary research and BLS Commissioner’s Award (2018) for management excellence.

Topic: Ethics for Applied Statisticians

Keynote Speaker

Faming Liang, Professor, Department of Statistics, Purdue University, USA

Biography: Professor Liang is working in the Department of Statistics at Purdue University where he leads the Statistical Computing Research Group. His research interests are in data science from the perspective of statistical computing. He has published several books and over 100 research papers in top ranked journals in the areas of machine learning, Markov Chain Monte Carlo and high performance computing with a focus on big-data and high-dimensional statistical problems encountered in biomedical science, engineering, and social science. Professor Liang is a fellow of the ASA and IMS and an elected member of the ISI. He has served as Associate Editor of many reputed statistical journals including JASA, Technometrics and Biometrics. He has received several prestigious awards for his outstanding contributions to research. For more details: http://www.stat.purdue.edu/~fmliang/.

Topic: Markov Neighborhood Regression for High-Dimensional Inference