proper modelling


our services CONTACT US


Data Science for industry

We develop and implement predictive models based on the most modern machine learning techniques. We advise on and deliver software solutions for data collection, data integration, data analysis, and modelling.

Data Science for academia

We analyse data with statistical methods as well as machine learning tools. We collaborate in scientific projects from the early stages of the study design up to writing scientific publications. Our network of collaborators includes numerous leading experts both from the private industry and academia.

upskilling courses

We develop tailored upskilling courses for Universities and private companies. Our members lecture at several top-ranked universities such ETHZ and the University of Oxford. We also offer software courses (e.g. Advanced R) as well as methodological courses (e.g. an introduction to deep learning).


Dr. matteo tanadini

Matteo studied statistics at ETH Zurich, where he also worked for two years as a statistical consultant, and holds a DPhil in Applied Biological Statistics from the University of Oxford (UK).

Matteo's work focuses on statistical modelling and model validation. His field of expertise includes modern parametric models and the statistical software R.

Matteo is currently lecturer at several universities (see here for a complete list of past and present courses).

DR. Claude Renaux

Senior Data Scientist
Claude was part of the statistical consulting team at the Seminary for Statistics at ETH Zurich after studying Mathematics.

He obtained a PhD in Statistics (2021) from ETH Zurich.

Claude is an expert in machine learning, classical statistical modelling, and high-dimensional statistics, as well as parallel computing in R and writing packages for the statistical software R.

klaus steigmiller

Klaus first studied Mathematics at ETH Zurich (BSc) and Biostatistics at the University of Zurich (MSc).

He was part of the Research Methods Consulting Group at the Department of Biostatistics (EBPI) at the University of Zurich for several years.

His main areas of expertise are study design, classical statistical analysis methods, and statistical programming using R.


Luisa was awarded a PhD in Biostatistics from the University of Zurich in 2022.
Previously, she obtained an MSc in Mathematics from ETH Zurich.

Her expertise area is generalised regression models with a focus on transformation models and their application to the multivariate setting.

Luisa is co-author of several R packages and is active in the R community as co-founder of the R-Ladies chapter in Zürich.

nisia trisconi

Data Scientist
Nisia achieved a master’s degree in mathematics with a minor in statistics at the University of Neuchatel (2023), where she also obtained her bachelor’s degree in mathematics (2021).            

Her main areas of expertise are dynamical systems and Markov chains. Additionally, she specializes in developing shiny apps.    

Prof. Dr. Fabio Sigrist

Academic partner
Fabio Sigrist is Professor of Applied Statistics and Data Science at the Lucerne University of Applied Sciences and Arts and Lecturer in Statistics at ETH Zurich. He obtained an MSc in Mathematics and a PhD in Statistics (2013) from ETH Zurich. After completing his PhD, he has worked as risk management consultant in the financial industry.

Fabio has lead and conducted many data science and analytics projects with various companies and research institutions, and collaborates closely with numerous academic and industrial partners both on theoretical and applied projects.

Dr. alberto PAGANINI

Academic partner
Alberto studied Mathematics at ETH Zurich, where he was awarded a PhD in 2016.He then worked as Departmental Lecturer in Numerical Analysis at the University of Oxford (UK) until 2019, when he became Lecturer (British equivalent of Assistant Professor) in Applied Mathematics at the University of Leicester (UK).

Alberto is an expert in numerical simulations and optimization, and collaborates closely with numerous academic and industrial partners both on theoretical and applied projects.

Dr. Bernd Fellinghauer

Diploma in Statistics - University of Munich
PhD in Statistics - ETH Zurich.
  • Data science consultant since 2012
  • Certified project manager
  • Development and operation of data pipelines
  • Development and operation of BI reports
  • Development and operation of   analytical models

DR. thibaut lienart

Thibaut studied mathematics in Cambridge after obtaining a degree in applied mathematics at UCLouvain, and holds a DPhil in statistics from Oxford. He has worked for Amazon Web Services and Amazon Transportation Services and has several years of experience as an independent machine learning

His work focuses on machine learning and uncertainty modelling. His field of expertise includes bayesian
machine learning, optimization and the Julia language for which he’s written and helps maintain several

Thibaut has recently co-founded a company specialising on extracting and analysing sales data for subscription businesses.

Karin lancetti

Karin graduated from the Scuola Superiore Alberghiera e del Turismo in Bellinzona in 2008.

Since then she has worked in several large companies in the tourism sector as Marketing Assistant and as Front and Back Office Manager.

This has given her a wealth of knowledge in administration, as well as excellent people,
communication and problem solving skills. She is fluent in five languages: German, Italian, English, French
and Spanish.

Karin is in charge of administration at ZDS.


Stella studied Agronomy (MSc) and Health and Nutrition (MAS) at ETH Zürich.

While traveling trough Asia as well as back home she continued to study, do courses and practice permaculture, various natural therapies, food transformations and yoga.

Stella has worked for several small companies, in start ups and as a freelancer, mainly in the field of nature, health and nutrition. At ZDS Stella takes care of creating beatiful seasonal presents ;).