Unit

SDSC - Administration

Center

Summary

The Swiss Data Science Center (SDSC) is a joint venture between ETH Zurich, EPFL, and PSI, established to accelerate the use of data science and machine learning techniques in academic disciplines, public institutions, and the industrial sector. A team of senior data scientists and experts collaborate on projects related to personalized health & medicine, earth & environmental science, social sciences, digital humanities, and economics. The SDSC promotes open research practices, emphasizing semantic enablement, data governance, privacy, and security to maximize the impact and reuse of research outputs. Through its dedicated team for Open Research Data, the SDSC supports research communities in adopting best practices such as the FAIR principles, fostering collaboration and innovation across the research community. The center provides end-to-end data enablement solutions, acting as a trusted partner for organizations seeking to drive innovation, efficiency, and impact in data-related projects.

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Related people (31)

Olivier Verscheure

SWISS DATA SCIENCE CENTER Housed at both EPFL and ETH Zurich, the newly created Swiss Data Science Center (SDSC) will address the fragmentation within today's data and analytics landscapes. The SDSC will be composed of a distributed multi-disciplinary team of data scientists and experts in domains including personalized health and personalized medicine, transportation, earth and environmental science, social science and digital humanities, and economics. The center aims to federate data providers, data and

Guillaume Romain Obozinski

Guillaume Obozinski is Deputy Chief Data Scientist at the Swiss Data Science Center. He graduated with a PhD in Statistics from UC Berkeley in 2009. He did his postdoc and held until 2012 a researcher position in the Willow and Sierra teams at INRIA and Ecole Normale Supérieure in Paris. He was then Research Faculty at Ecole des Ponts ParisTech until 2018. Guillaume has broad interests in statistics and machine learning and worked over time on sparse modeling, optimization for large scale learning, graphical models, relational learning and semantic embeddings, with applications in various domains from computational biology to computer vision.

Mathieu Salzmann

I am a Senior Researcher at EPFL-CVLab, and, since May 2020, an Artificial Intelligence Engineer at ClearSpace (50%). Previously, I was a Senior Researcher and Research Leader in NICTA's computer vision research group. Prior to this, from Sept. 2010 to Jan 2012, I was a Research Assistant Professor at TTI-Chicago, and, from Feb. 2009 to Aug. 2010, a postdoctoral fellow at ICSI and EECS at UC Berkeley under the supervision of Prof. Trevor Darrell. I obtained my PhD in Jan. 2009 from EPFL under the supervision of Prof. Pascal Fua.

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Related publications (32)

SDSC - Administration

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Search for the lepton flavour violating decays B0→e±μ∓ and B0s→e±μ∓ with LHCb Run 2 data

Measurement of the Higgs boson production via vector boson fusion and its decay into bottom quarks in proton-proton collisions at √s=13 TeV

Search for new Higgs bosons via same-sign top quark pair production in association with a jet in proton-proton collisions at √s=13 TeV