The Swiss Data Science Center

Enabling data-driven science and innovation for societal impact, and supporting scientists, businesses and organizations in their data science and AI journey.
In 2017, a national Data Science initiative from the ETH Board resulted in the creation of a unique strategic focus area: the Swiss Data Science Center (SDSC), bringing together the ETH Zürich, the EPFL, and the PSI. The SDSC’s mission is to accelerate the use of data science and machine learning techniques within academic disciplines of the ETH Domain, the Swiss academic community at large, the public institutions and the industrial sector.

A team of senior data scientists and experts in domains such as personalized health & medicine, earth & environmental science, social sciences, digital humanities and economics collaborate on academic and industrial projects. This unique positioning, at the crossroad of academic excellence and a fast-paced business environment, is key to simplifying a complex data science journey.

Team

A large team of researchers and professionals in Data Science

Raphaël Matusiak
Raphaël Matusiak
Senior Data Scientist
Benjamín Béjar Haro
Benjamín Béjar Haro
Lead Data Scientist & group leader SDSC Hub at PSI
Flora Thiebaut
Flora Thiebaut
Senior Software Engineer
Ilnura Usmanova
Ilnura Usmanova
Senior Data Scientist
Liliana Barrios
Liliana Barrios
Senior Data Scientist
Guillaume Obozinski
Guillaume Obozinski
Deputy Executive Director & Chief Data Scientist

Open Research

Promoting Open Research

At the SDSC, we promote open research practices throughout the entire data lifecycle.

By leveraging our expertise in semantic enablement, data governance, privacy and security, and other key areas, we help our partners and ecosystem actors to adopt open research practices that maximize the impact and reuse of their research outputs.

News

Latest news

PAIRED-HYDRO | Increasing the Lifespan of Hydropower Turbines with Machine Learning
May 1, 2025

PAIRED-HYDRO | Increasing the Lifespan of Hydropower Turbines with Machine Learning

PAIRED-HYDRO | Increasing the Lifespan of Hydropower Turbines with Machine Learning

Hydropower accounts for almost 60% of Swiss energy production, which is likely to increase with a shift to renewable energy...
First National Calls: 50 selected projects to start in 2025
March 12, 2025

First National Calls: 50 selected projects to start in 2025

First National Calls: 50 selected projects to start in 2025

50 proposals were selected through the review processes of the SDSC's first National Calls.
AIXD | Generative AI toolbox for architects and engineers
January 22, 2025

AIXD | Generative AI toolbox for architects and engineers

AIXD | Generative AI toolbox for architects and engineers

Introducing AIXD (AI-eXtended Design), a toolbox for forward and inverse modeling for exhaustive design exploration.

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