Team
We are a diverse team of formally educated statisticians with long-term experience in applying and teaching statistical modeling and state-of-the-art data science. Get to know us more here :-)
Core Team
Dr. Matteo Tanadini
Matteo studied statistics at ETH Zurich, where he also worked for two years as a statistical consultant. He 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.
Dr. Claude Renaux
Claude was part of the statistical consulting team at the Seminar 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 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.
Dr. Luisa Barbanti
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
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 web applications.
Dr. Meta-Lina Spohn
Meta-Lina obtained a PhD in Statistics from ETH Zurich in 2023. Previously, she studied Mathematics at ETH Zurich (BSc and MSc).
Her main areas of expertise are causality, treatment effect estimation, and handling of missing values.
She is experienced in the use of the software R for statistical modelling and is co-author of two R-packages.
Administration
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.
Karin is in charge of administration at ZDS.
Stella Koch
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.
Extended Team
Dr. Fabio Sigrist
Fabio is a Senior Scientist at the Seminar for Statistics at ETH Zurich and Professor of Applied Statistics and Data Science at the Lucerne University of Applied Sciences and Arts. 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.
Dr. Alberto Paganini
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 in Applied Mathematics at the University of Leicester (UK). He is now Associate Professor in Applied and Computational Mathematics at the University of Leicester (UK).
Alberto is an expert in numerical simulations and optimization.
Dr. Bernd Fellinghauer
Bernd obtained his Diploma in Statistics at University of Munich and was awarded a PhD in Statistics from ETH Zurich. He has worked as a Data Science consultant since 2012 and is a certified project manager.
He is an expert in data engineering and the development and operation of data pipelines, BI reports and 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 consultant. Thibaut has recently co-founded a company specialising on extracting and analysing sales data for subscription businesses.
His field of expertise includes bayesian machine learning, optimization and the Julia language for which he’s written and helps maintain several packages.
The extended team mentioned above is only a small part of the experts we collaborate with. In fact, we have access to a vast pool of academics and experts that we can contact when needed. We may not be scalable in number, but we are in complexity ;-)