
Enabling data-driven science & innovation for societal impact
We accompany the academic community and the industrial sector in their data science journey, putting to work AI and ML and facilitating the multidisciplinary exchange of data and knowledge.
In the spotlight
About
The Swiss Data Science Center
In 2017, a national Data Science initiative from the ETH Board resulted in the creation of a unique joint venture between EPFL and ETH Zurich: the Swiss Data Science Center.
The Center’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, and the industrial sector.
Domains OF EXPERTISE
Data Science per domain
collaborate
Innovation solutions for organizations
Next Events
Join us on our next events

Zürcher KMU-KI-Programm: Ergebnisse & Prototypen


Anna joined SDSC as a Data Scientist focusing on industry collaborations in July 2019. She completed her PhD in Bioinformatics at the University of Luxembourg, where she analysed large-scale heterogeneous datasets and leveraged multiple disciplines: Statistics, Network Analysis, and Machine Learning. Before joining SDSC, Anna worked as a Data Scientist at Deloitte Luxembourg, with a focus on computer vision and time-series analysis.Currently, Anna is a Principal Data Scientist based at the ETH Zurich office, where she leads biomedical collaborations with industry partners. Anna works on a range of projects: protein properties prediction, biomanufacturing optimization, statistical model evaluation and others.


Paulina Körner joined the SDSC in September 2025 as a Data Scientist in the Innovation team in Zurich.
Paulina holds an MSc in Environmental Science from ETH Zürich and completed an MPhil in Machine Learning and Machine Intelligence at the University of Cambridge. She has worked as a data science intern in Alpine Remote Sensing and as a research assistant at ETH Zürich, where she focused on automating chemical risk evaluations. She also gained consulting experience at South Pole, supporting clients in designing decarbonization roadmaps. Paulina is particularly interested in interpretable machine learning and in applying AI to address real-world challenges in environmental science, industry, and the public sector.
News
Latest news
Data Science & AI Briefing Series for Executives
Data Science & AI Briefing Series for Executives


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


First National Calls: 50 selected projects to start in 2025
First National Calls: 50 selected projects to start in 2025
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