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The SDSC The SDSC AboutTeamCareersBlogNewsResources Featured BLOG Collaboration between CHUV, SDSC and UNIL June 27, 2024 Research Research ProjectsCall for ProjectsPublicationsOpen Research Featured Project DAAAD_Bridges Domain-aware-AI Augmented Design of Bridge Structures Innovation Innovation Collaborating with SDSCCase studies Featured Case studies Qlaire: Enhance Quality Management with generative AI Education Education Courses & WorkshopsPhD fellowsStudents projects Featured Event January 17, 2025 ENID | Enabling Innovation with Data Science at ETH Zurich Events Contact +41 21 693 43 88 info@sdsc.ch Swiss Data Science Center EPFL, INN Building, Station 14, 1015 Lausanne Contact EN EN FR DE 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. View Research projectsAbout the SDSC IN THE SPOTLIGHT EVENTS SDSC HACKATHON: ORD FOR THE SCIENCES This event is organized by the Swiss Data Science Center and EPFL Open Science. This exciting event will bring together professionals from a mix of academia and private and public sector organizations to explore the potential of open research datasets and infrastructures. October 24, 2024 BLOG COLLABORATION BETWEEN CHUV, SDSC AND UNIL PROJECT DAAAD_BRIDGES Domain-aware-AI Augmented Design of Bridge Structures CASE STUDIES LEVERAGING AI TO FOSTER SUSTAINABLE CONSUMER GOODS Slide 2 of 4. ABOUT THE SWISS DATA SCIENCE CENTER Meet the TEAM 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 Our scientists’ expertise is applied daily to a wide variety of domains and applications. Energy, Climate & Environment — See more Digital Administration — See more Biomedical Data Science — See more Big Science Data — See more Slide 2 of 4. Biomedical Data Science Digital Administration Big Science Data Energy, Climate & Environment Meet our speakers and experts and gain knowledge with industry professionals. Meet the SDSC COLLABORATE INNOVATION SOLUTIONS FOR ORGANIZATIONS Through proofs of concept, talent transfers, academic expertise, objective feedback and more, we offer data science services to a wide variety of industries. Discover our solutions NEXT EVENTS JOIN US ON OUR NEXT EVENTS SDSC HACKATHON: ORD FOR THE SCIENCES Oct 24, 2024 — Oct 25, 2024 BC Building, EPFL, Lausanne Speaker(s): View more Valerio Rossetti Principal Data Scientist 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. View more Luis Salamanca Lead Data Scientist Luis is originally from Spain, where he completed his bachelor's studies in Electrical engineering, and the Ms.C. on signal theory and communications, both at the University of Seville. During his Ph.D. he started focusing on machine learning methods, more specifically message passing techniques for channel coding, and Bayesian methods for channel equalization. He carried it out between the University of Seville and the University Carlos III in Madrid, also spending some time at the EPFL, Switzerland, and Bell Labs, USA, where he worked on advanced techniques for optical channel coding. When he completed his Ph.D. in 2013, he moved to the Luxembourg Center on Systems Biomedicine, where he switched his interest to neuroscience, neuroimaging, life sciences, etc., and the application of machine learning techniques to these fields. During his 4 and a half years there as a Postdoc, he worked on many different problems as a data scientist, encompassing topics such as microscopy image analysis, neuroimaging, single-cell gene expression analysis, etc. He joined the SDSC in April 2018. As Lead Data Scientist, Luis coordinates projects in various domains. Several projects focus on the application of natural language processing and knowledge graphs to the study of different phenomena in social and political sciences. In the domains of architecture and engineering, Luis is responsible for projects centered on the application of novel generative methods to parametric modeling. Finally, Luis also coordinates different projects in robotics, ranging from collaborative robotic construction to deformable object manipulation. View more Carlos Vivar Ríos ORD Engineer Carlos Vivar Ríos joined the SDSC in 2023, where he is part of the Open Research Data and Engagement Unit (ORDES). As a multidisciplinary data engineer, he brings a diverse background in biology, cognitive sciences, and bioinformatics from the University of Malaga. His multifaceted professional career spans several disciplines, including genomics at RIKEN in Yokohama, multidimensional image analysis in microscopy at the University of Lausanne (UNIL), and cellular biology modeling at INRIA in Lyon. Carlos has been involved in a variety of projects, such as analyzing astrocyte calcium dynamics, de novo sequencing Solea senegalensis, drug repurposing for Alzheimer's based on GWAS studies, conducting geospatial analysis for linguistic corpora, and assessing drought through remote sensing. He is dedicated to advancing reproducible research methods and actively supports the open science movement. View more Oksana Riba Grognuz Head of ORD Engagement & Services Team Oksana is a disruptive innovator bringing her positive energy to projects. Driven by her curiosity and can-do attitude she excels in industrial and academic contexts. Oksana earned her PhD in Life Sciences and Bioinformatics from the University of Lausanne after two MSc in Bioinformatics and in Information Systems from the University of Geneva. For more than 10 years, she has been committed to actively promoting the value of data science and advocating the best practices for reproducible and ethical research. She believes that Swiss Data Science Center is a key player in building a competitive data economy in Switzerland leveraging its innovative potential and renown commitment to quality. Register now All Events NEWS LATEST NEWS 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. Read more Read more 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? Read more Read more March 20, 2024 EFFICIENT AND SCALABLE GRAPH GENERATION THROUGH ITERATIVE LOCAL EXPANSION EFFICIENT AND SCALABLE GRAPH GENERATION THROUGH ITERATIVE LOCAL EXPANSION Have you ever considered the complexity of generating large-scale, intricate graphs akin to those that represent the vast relational structures of our world? Our research introduces a pioneering approach to graph generation that tackles the scalability and complexity of creating such expansive, real-world graphs. Read more Read more All news CONTACT US LET’S TALK DATA SCIENCE Do you need our services or expertise? Contact us for your next Data Science project! Contact our team Swiss Data Science Center EPFL, INN Building, Station 14, 1015 Lausanne Wasserwerkstrasse 10 8092 Zürich AboutEventsBlogContact ResourcesMedia CornerNews Subscribe to our mailing list Join our mailing list to stay up to date on the latest Data Science news. Thanks for signing up! Please check your email to confirm your subscription. 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