Dr. Lily Wang is a tenured Professor of Statistics at Iowa State University. She received her Ph.D. in Statistics from Michigan State University in 2007. Prior to joining Iowa State in 2014, she was a tenure-track Assistant/tenured Associate Professor in the Department of Statistics at the University of Georgia 2007-2013/2013-2014.
Her primary areas of research include non/semi-parametric statistical methods, statistical (machine) learning of data objects with complex features, methodologies for functional data, imaging data, and spatiotemporal data, survey sampling, and issues related to data science and big data analytics. The methods that she developed have a wide application in economics, engineering, neuroimaging, epidemiology, environmental studies, and biomedical science. Her work has been published in several major statistical journals such as the Journal of the American Statistical Association, the Annals of Statistics, the Annals of Applied Statistics, and Biometrics.
Dr. Wang is an Elected Fellow of the American Statistical Association (2021), an Elected Fellow of the Institute of Mathematical Statistics (2020), and an Elected Member of the International Statistical Institute (2008). She is the recipient of multiple awards from the National Science Foundation, the research fellowship from the Securities and Exchange Commission (2019-2020) and the American Statistical Association/National Science Foundation/Bureau of Labor Statistics (2010-2011), the COVID-19 Exceptional Effort Research Impact Award from Iowa State University (2020), and the M. G. Michael Research Award from the University of Georgia (2012).
Dr. Wang is currently serving on the editorial board of Journal of the Royal Statistical Society, Series B (2020-present), Journal of Nonparametric Statistics (2019-present), and Statistical Analysis and Data Mining (2018-present), as well as on the organizing committee of COPSS-NISS COVID-19 Data Science Webinar Series (2020-2021).