Formal Privacy for Modern Nonparametric Statistics

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Notes on contributors

Jordan Awan

Jordan Awan is an assistant professor in the Department of Statistics at Purdue University. He studied at Clarion University from 2011–14, earning a BS in mathematics, and completed an MA in mathematics at Brandeis University in 2016 under the advisement of Olivier Bernardi. He obtained his PhD in statistics at Penn State University, advised by Aleksandra Slavkovic´ and Matthew Reimherr. His research focuses on differential privacy, with applications to functional data analysis, classical statistical inference, and empirical risk minimization. He has also collaborated on several projects related to pitch tracking for the analysis of physiological signals.

Matthew Reimherr

Matthew Reimherr is an associate professor in the Department of Statistics at Penn State. He obtained a PhD in statistics from the University of Chicago and an MS in Statistics and a BS in mathematics from the University of Utah. He is currently an associate editor of Statistical Modelling, the Journal of Multivariate Analysis, Annals of Applied Statistics, and the Journal of the Royal Statistical Society: Series B. Reimherr's work focuses on problems in functional data analysis, longitudinal data analysis, statistical genetics, high dimensional regression and screening, data privacy, and shape analysis.

Aleksandra (Seša) Slavković

Aleksandra (Seša) Slavković is a professor of statistics and associate dean for graduate education in the Eberly College of Science at Penn State. She earned her PhD in statistics from Carnegie Mellon University. Her research focuses on methodological developments in data privacy and confidentiality in the context of small and large-scale surveys, health, genomic, and network data, including differential privacy and broad data access. Her other research interests include evaluation methods for human performance in virtual environments, application of statistics to information sciences and social sciences, algebraic statistics, and causal inference. She served as a chair of the ASA Privacy and Confidentiality Committee, and is chair-elect 2021 for the ASA Social Statistics Section.