Speaker: Hao Helen Zhang, Department of Mathematics and Statistics Interdisciplinary Program (GIDP), University of Arizona
Presentation Title: Introduction to UA-TRIPODS; Interaction Selection for Big Data
Abstract: My talk consists of two parts. The first part will provide an overview of UA-TRIPODS, the new NSF-funded data science institute at UA. I will present research, education, and outreach activities of UA-TRIPODS, and as well as collaboration and funding opportunities provided by the institute. In the second part, I will present one of my recent works on the problem of interaction selection for high-dimensional data in supervised learning. A new regularization method, including a scalable path-building algorithm (RAMP) and some theoretical results, will be introduced. Some applications of the new method in big data analytics will be presented as well.
Bio: Hao Helen Zhang is a professor in the Department of Mathematics, also a faculty member of Statistics Graduate Interdisciplinary Program (GIDP). Her research areas include statistical machine learning, high dimensional data analysis, nonparametric smoothing, and biomedical data analysis, and her research has been funded by NSF, NIH, NSA, including a NSF CAREER award. Dr. Zhang has been serving on the editorial board of several major statistical journals including JASA, JCGS, and Statistical Analysis and Data Mining, and is currently the Editor-in-chief for the ISI journal Stat. She is an elected member of the International Statistical Institute, Fellow of the American Statistical Association, Fellow of the Institute of Mathematical Statistics, and the 2019 Medallion Lecturer of the Institute of Mathematical Statistics.