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SwissAnon
Team

The people behind SwissAnon

A network across FHNW, BFH, UZH, and ZHAW — researchers and practitioners working on data anonymization and synthetic data.

Core team

  • Matthias Templ

    Matthias Templ Lead

    Professor for Empirical Methods and Business Analytics

    FHNW · ETH Zürich

    Works on compositional data analysis, imputation of missing values, and data anonymization. Editor-in-Chief of the Austrian Journal of Statistics, author of a textbook on statistical disclosure control, and maintainer of the sdcMicro and simPop R packages — on CRAN since 2010.

    Profile ↗ Website ↗
  • Murat Sariyar

    Murat Sariyar Co-lead

    Professor for Medical Informatics

    BFH · University of Bern

    A mathematician whose interests span anonymization, record linkage, deep learning, bioinformatics, pharmacogenomics, natural-language processing, ontologies, and the broader question of identity.

    Profile ↗
  • Oscar Thees

    Oscar Thees

    Research associate · PhD student

    FHNW · TU Wien

    An economist by training and a research associate in the Data Science and Empirical Research Group at the University of Applied Sciences Northwestern Switzerland (FHNW). He is doing his PhD at TU Wien on the anonymization of event and longitudinal data using privacy-preserving technologies.

    Profile ↗
  • Roman Müller

    Roman Müller

    PhD student · Research associate

    UZH · FHNW

    Develops anonymization techniques for longitudinal and network data, where each record connects to many others.

    Profile ↗
  • Marko Miletic

    Marko Miletic

    Project collaborator & software developer

    BFH — Institute for Optimization and Data Analysis

    Builds anonymization methods for event and longitudinal data, turning research into tools the industry and health sector can run in production.

    Profile ↗

Extended team & specialisms

  • Carolin Strobl

    Carolin Strobl

    Head of research unit

    UZH — Department of Psychology

    Leads a research unit in psychological methods and sits on the steering committee of the Center for Reproducible Science. She promotes anonymization and synthetic data as a way to share sensitive data in the spirit of Open Science.

    Profile ↗
  • Reto Bürgin

    Reto Bürgin

    Lecturer

    ZHAW — Institute for Data Analysis and Process Design

    Focuses on the practical problems of data anonymization and on the guidelines, illustrations, and help tools that make it usable in day-to-day work.

    Profile ↗