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.
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 diversified team of researchers and professionals in Data Science
Valerio Rossetti
Principal Data Scientist
Mohammad Alisafaee
Sr. Computer Scientist
Marisol Alcalde
Office Manager
Xinrui Lyu
Biomedical Data Scientist
Alessandro Maissen
Data Scientist
Yun Cheng
Sr. 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.
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
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.
May 1, 2024
Smartair | An active learning algorithm for real-time acquisition and regression of flow field data
Smartair | An active learning algorithm for real-time acquisition and regression of flow field data
We’ve developed a smart solution for wind tunnel testing that learns as it works, providing accurate results faster. It provides an accurate mean flow field and turbulence field reconstruction while shortening the sampling time.
April 22, 2024
The Promise of AI in Pharmaceutical Manufacturing
The Promise of AI in Pharmaceutical Manufacturing
Innovation in pharmaceutical manufacturing raises key questions: How will AI change our operations? What does this mean for the skills of our workforce? How will it reshape our collaborative efforts? And crucially, how can we fully leverage these changes?
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