Every point new. The pattern kept.

I am Matthias Templ, statistician at the FHNW School of Business in Olten. I work on anonymisation and synthetic data, on missing values, and on results that survive a rerun. The map behind this text shows where Switzerland lives, and what a synthetic twin keeps of it.

State of the map
Olten, one dot per ten residents

dots where nobody lives

per hectare
0%
per km²
0%

9.1 million residents, one dot for every 380. Every dot sits in a hectare where somebody really lives.

Source: STATPOP 2024, BFS GEOSTAT

Four hats

teaching · research · practice · publishing

FHNW, Olten

Professor of Statistics at the School of Business. Statistics for business and information-systems students, a course site used by two hundred students a year, doctoral supervision.

teaching

Center for Data Quality and Anonymization

Head of the FHNW center (C4DataQuality): data-quality analysis, survey-statistics consulting, strategies for missing data, anonymisation and data release, training. Two research associates, three funded projects.

the center at FHNW

SwissAnon

The Swiss Data Anonymization Center, run with Murat Sariyar (BFH). Methods, software, courses and second opinions for companies and public bodies that have to share data without exposing people.

swissanon.com

FAIR Press

Reproducibility-first academic publishing, founded 2026. Editor-in-Chief of the Journal of Reproducible Statistics, where results are rerun before they are published and a named human signs every verdict.

why a new journal

Now

projects I lead
2023 to 2027 · SNSF and Innosuisse, Bridge Discovery, grant 211751

Privacy-preserving technologies for event and longitudinal data

Mobility traces, life-course events and health records identify people through the sequence of what happened, so removing names is not enough.

2026 to 2028 · SBB Research Fund

Privacy-preserving data sharing for the SBB synthetic population

The SBB synthetic population describes about nine million persons, four million households and 700,000 businesses with exact coordinates and is a central basis for transport planning.

2026 · Service agreement with Société des Produits Nestlé SA

Risk-based anonymisation and pseudonymisation for Nestlé Switzerland

Nestlé Switzerland analyses individual-level data from internal studies and wants to do so within data-protection law.

all projects

FAIR Press

co-founder · editor-in-chief, journal of reproducible statistics

Results rerun before publication, as far as the data allow.

Journal of Reproducible Statistics

New methods, applied analyses of real data, software, simulation studies, replications, null and negative findings. Code is rerun on the data and a signed reproduction certificate goes with the paper.

accepting submissions

Journal of Reproducible Health Sciences

The same model for clinical and public-health research, where data are often too sensitive to publish and verification runs on surrogates.

accepting founding articles

Journal of Reproducible Biology

In preparation for the life sciences.

in preparation
Explore the journalsSubmit a manuscriptJournal of Reproducible Statistics

Recent

log
  1. 16 September 2026templ.ch goes live.
  2. 16 September 2026Chapter on agentic AI re-identification of mobility microdata in the PSD 2026 proceedings (Springer LNCS), with Oscar Thees and Roman Müller. doi.org
  3. 11 September 2026VIM 7.3.1 on CRAN. cran.r-project.org
  4. 9 September 2026Keynote at the Austrian Statistics Days in Vienna: disclosure scenarios, attacker cost, and agentic AI. swissanon.com
  5. 2 September 2026riskutility 0.2.0 on CRAN. cran.r-project.org
  6. 20 August 2026Fireside chat on synthetic data in biostatistics at the EFSPI Regulatory Workshop, with Theresa Stadler.

full log