Additional information
Notes on contributors
Michelle Pistner Nixon
Roberto Molinari is an assistant professor in the Department of Mathematics and Statistics at Auburn University. He received his PhD in statistics at the University of Geneva. His research focuses on robust statistics and stochastic processes, as well as model/feature selection and differential privacy. He has contributed to the development of online textbooks about data science and time series analysis with R and developed several R packages implementing his methodologies.
Steven R. Nixon
Michelle Pistner Nixon is a doctoral candidate in the Department of Statistics at the Pennsylvania State University (Penn State). Her research focus is statistical data privacy, and she is interested in applying data privacy methods to other domains, especially in the context of public policy and social good.
Roberto Molinari
Steven Nixon is a research and development engineer in the Applied Research Laboratory at Penn State. His work is primarily in condition-based maintenance and machinery failure prediction. He has worked on the implementation of new sensor types for failure prediction and the use of data science to improve predictions based on existing data sources.