
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.
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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
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Innovation solutions for organizations
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Deep Dive – Enabling Innovation with AI in Health and Biomedicine


Nora earned her Ph.D. in Computer Science/Bioinformatics from the University of Tübingen, where she focused on the in silico design of peptide-based vaccines using combinatorial optimization and machine learning. During her postdoctoral fellowship at Memorial Sloan Kettering Cancer Center in New York, and later as a staff scientist at the New York Genome Center, she worked on metagenomics, infectious diseases, and cancer. In 2015, Nora joined NEXUS Personalized Health Technologies at ETH Zurich where her focus shifted towards the management of clinical and biomedical research data. In May 2024, she joined the Swiss Data Science Center as Head of Biomedical Data Science.


Federico holds a M.Sc. in Engineering and a Ph.D. in Sustainable Development and Innovation Engineering. After a three-year Postdoc in Environmental Data Mining at the University of Lausanne, in 2021 he joined the Swiss Data Science Centre, where he now works as Senior Data Scientist supporting the acceleration of the digital transformation within industries, NGOs and public bodies. Over the years he worked on the development of methodological tools to mine and model big spatiotemporal datasets. He has deep competencies in applied statistics, machine learning, geocomputation, spatial statistics, remote sensing.


Johanna joined SDSC in August 2025 as Site & Program Lead.
She is responsible for leading SDSC’s strategic programme with the State of Vaud, supporting innovation-driven projects that unite academic excellence, SMEs, and public sector actors. Johanna also oversees SDSC’s flagship space located at the Biopôle campus in Lausanne, where she is based. Prior to joining SDSC, Johanna gained over 15 years of experience in operations and project management across service and not-for-profit organizations. Since 2020, she has been deeply engaged in the tech ecosystem of the region. She contributed to the growth of Unit8 SA, a Swiss AI & Data Science consulting firm, during its transition from start-up to scale-up, and later served as Project Manager at the unlimitrust campus by SICPA, where she built strategic collaborations within the Swiss and international innovation landscape. Johanna holds degrees from EHL Hospitality Business School and HEC Lausanne.
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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