
Datenbasierte Wissenschaft und Innovation mit Social Effect
Wir begleiten die akademische Gemeinschaft und den Industriesektor auf ihrem Weg zur Datenwissenschaft, setzen KI und ML ein und ermöglichen den multidisziplinären Austausch von Daten und Wissen.
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Das Swiss Data Science Center
Im Jahr 2017 führte eine nationale Data-Science-Initiative des ETH-Rats zur Gründung eines einzigartigen Joint Ventures zwischen der EPFL und der ETH Zürich: dem Swiss Data Science Center.
Die Mission des Zentrums ist es, den Einsatz von Datenwissenschaft und maschinellem Lernen in akademischen Disziplinen des ETH-Bereichs, der schweizerischen akademischen Gemeinschaft insgesamt und des Industriesektors zu beschleunigen.
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ENID | Enabling Innovation with Data Science & AI at EPFL


Alessandro joined the SDSC in March 2019 as a data scientist focused on industry collaborations. His mission is to support corporates in leveraging the power of their data by adopting analytical approaches and data-centric solutions. His background is in biomedical engineering, with a PhD in neuroscience from the University of Tübingen. Before joining the center, he worked as a postdoc at the Max Planck Institute for Biological Cybernetics, at the EPFL Laboratory of Cognitive Neuroscience in Geneva, and as data scientist for a private ecommerce company.


Valerio started his career working for 7 years as a particle-physics researcher at CERN. There, he used state-of-the-art techniques to extract information from data, especially to search for traces of dark matter in particle collisions. Since 2016, he has worked in consulting, applying data science in several industries. First, he joined the Quant team of Ernst & Young in Geneva. Later, he created his own company, SamurAI sàrl, providing consulting services for his clients. He also has a passion for teaching very complex subjects in simple terms. That is why he particularly enjoys offering training programs to private companies and universities. Valerio joined the SDSC in Mai 2022 as a Principal Data Scientist with the mission of accompanying industrial partners and other institutions through their data science journey.


Roberto holds an M.Sc. and a Ph.D. in Particle Physics from the University of Torino, Italy. He has worked for several years in fundamental research as a senior fellow and data scientist at the CERN Experimental Physics division and on a research project supported by the Belgian National Fund for Scientific Research (FNRS). In 2018 he moved to EPFL to work on data mining and Machine Learning techniques for the built environment and renewable energies. He has started and led multiple collaborations with academic and industry partners in the energy domain. Roberto joined the SDSC in September 2021 as a Principal Data Scientist with the mission of accompanying industries, NGOs and international organizations through their data science journey.


Silvia holds an MSc in Computer Science from EPFL and a PhD in Computer Science from the University of York, UK. She has been a senior research fellow at the University of Trento and later at Politecnico di Milano, Italy. Here, she had the chance to work on Marie Curie and ERC projects relating to natural language processing. From 2012 to 2019, she was a Senior Manager and NLP expert at ELCA Informatique Switzerland, whose AI department she helped create and expand. Silvia joined the Swiss Data Science Center in 2019 and is currently its Chief Transformation Officer, in charge of the team leading organizations to digital transformation.


Clément became part of the SDSC team in January 2019, assuming the role of a Data Scientist with an emphasis on industry-oriented projects. He holds a Bachelor of Science degree in Physics, acquired in 2016 from the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland. Following this, he earned a Master of Science in Computational Science and Engineering in 2018, also from EPFL. Throughout his academic journey, Clément concentrated on leveraging Data Science and Machine Learning techniques to enhance efficiency in industrial processes. Subsequently, he developed a specialized interest in Generative AI, with a particular focus on Natural Language Processing (NLP), especially in the application of Large Language Models for innovation.
News
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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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