Matthias Templ

(Core team)

Matthias Templ is a Professor for Empirical Methods and Business Analytics at the University of Applied Sciences and Arts Northwestern Switzerland, and a lecturer at ETH Zurich. His main research interests include compositional data analysis, imputation of missing values and anonymization of data. He is the Editor-in-Chief of the Austrian Journal of Statistics and author a textbook in data anonymization. He authors and maintains several R packages, such as the R package sdcMicro for statistical disclosure control, the package simPop for simulation of synthetic data.

Murat Sariyar

(Core team)

Murat Sariyar is a Professor for Medical Informatics at the Bern University of Applied Sciences, a lecturer at the University of Bern, and a mathematician by training. His main domains of interest include deep learning, anonymization, record linkage, bioinformatics, pharmacogenomics, natural language processing, ontologies, and issues around identity.

Oscar Thees

(Core team)

Oscar Thees is an economist by training and a research associate at the Empirical Economic and Social Research group at the University of Applied Sciences Northwestern Switzerland. He is also doing his PhD at the Vienna University of Technology on the topic of anonymization of event and longitudinal data using privacy preserving technologies.

Jiří Novák

(Core team)

Jiří Novák received his first PhD in Statistics from the Faculty of Informatics and Statistics at the Prague University of Economics and Business, and is currently pursuing a second PhD at the University of Zurich. In his previous research, he focused on Statistical disclosure control for microdata from population censuses using synthetic data simulation, and he is currently conducting research in synthetic longitudinal data generation. He used to work at the Czech Statistical Office as a part of the dissemination team responsible for the methodology of the confidentiality of the published data from the Czech population census 2021. Jiří is an R enthusiast and contributor to the R packages sdcMicro for statistical disclosure control, the package simPop for simulation of synthetic data.

Marko Miletic

(Core team)

Marko Miletic is a scientific project collaborator and software developer at the Institute for Optimisation and Data Analysis at the Bern University of Applied Sciences where he focusses on the development and advancement of anonymization methods for event and longitudinal data for the industry and health sector.

Carolin Strobl

(Extended team and specialisms)

Carolin Strobl is the head of the research unit for Psychological Methods, Evaluation and Statistics at the Department of Psychology, University of Zurich. As a steering committee member of the Center for Reproducible Science she wants to help promote anonymization and synthetic data as a means for sharing sensitive data in the spirit of Open Science.