About us
We are a team of formally educated statisticians with long-term experience in applying and teaching statistical modelling and data science. Our specialty is transferring insights seamlessly into real-world settings.
Core Values
We operate according to the following core values.
Cutting-Edge
Thanks to our ties to experts with various backgrounds, we consistently update our knowledge to the state-of-the-art and promote personal growth and responsibility.
Transparency
We share the whole path to our results transparently such that they are understandable and reproducible by our clients.
Team
Our high team spirit and open-mindedness foster an atmosphere of trust. Through the inclusion of the client in all important project steps we ensure that all parties are part of a constructive and impactful team.
Pillars for Quality
Data science is our profession and passion.
What drives our work is the focus on quality and together with you we establish common quality criteria for your specific set-up. The understanding of quality is tailored, but quality requires solid pillars in any case.
Data Quality
We take an in-depth look at your data, detect problems, peculiarities, and possibilities to improve the quality of the data to gain valuable knowledge. We assist you in planning the collection of new data to ensure high-precision insights and forecasts. Throughout the whole process, we ensure confidentiality and data security.
Key Questions
Part of our expertise is having an analytical understanding of problems. We approach detailed questions with a holistic perspective. Together, we define key questions that help boost your gains and knowledge. We translate your questions into the language of statistics.
Real World
We never lose sight of your specific real world setting and explain you the obtained insights in the context of your business/plan of action/research set-up.
Valuable Insight
We find the best suited statistical approach for your data and the questions you are seeking to answer, and obtain high-quality and robust insights. We apply state-of-the-art modeling by maintaining a close connection with top researchers and staying up-to-date with the most recent advancements.
Core Team
Dr. Matteo Tanadini
Senior Data Scientist & Founder
Matteo studied statistics at ETH Zurich, where he also worked for two years as a statistical consultant. He holds a PhD in Applied 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
Senior Data Scientist
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.
Nisia Trisconi
Data Scientist
Nisia achieved a master’s degree in mathematics with a minor in statistics at the University of Neuchatel (2023).
Her main areas of expertise are dynamical systems and Markov chains. Additionally, she specialises in web application development and statistical programming with R.
Dr. Luisa Barbanti
Data Scientist
Luisa was awarded a PhD in Biostatistics from the University of Zurich in 2022 and previously obtained an MSc in Mathematics from ETH Zurich.
Luisa’s 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 Zurich.
Klaus Steigmiller
Data Scientist
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. Antoine Buetti
Data Engineer
Antoine holds a Master’s degree in Biochemistry and a Ph.D. in Molecular Biology from the University of Zurich.
With over a decade of experience, he has contributed to multidisciplinary research projects spanning the private, academic, and public sectors. His expertise encompasses diverse fields, including cancer biology, microbial ecology, computer science and data engineering.
Administration
Karin Lancetti
Administration
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
Administration
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
The extended team is only a small part of the experts we collaborate with. In fact, we have access to a vast pool of academics and professionals that we can contact when needed.
Dr. Fabio Sigrist
Academic Partner
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
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 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
Associated Data Scientist
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
Associated Data Scientist
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 recently co-founded a company specialising on extracting and analysing sales data for subscription businesses.
His fields of expertise includes bayesian machine learning, optimization and the Julia language for which he’s written and helps maintaining several packages.