Swiss Data Science Center
Oksana Riba Grognuz is an accomplished professional with extensive experience in data science, bioinformatics, and research management. Currently serving as Head of ORD Engagement & Services at Swiss Data Science Center since January 2021, Oksana leads an interdisciplinary team focused on research data engineering and strategic positioning in the Open Research Data landscape. Previous roles include Senior Data Science Engineer and Team Leader at Philip Morris International, where Oksana contributed significantly to advanced forecasting models and GDPR compliance, and Senior Researcher at UNIL - Université de Lausanne, leading experimental design and omics data analysis. Oksana's academic credentials include a PhD in Life Sciences from the University of Lausanne, complemented by advanced degrees in Bioinformatics and Information Systems from the University of Geneva, as well as a Bachelor of Arts in International Business.
This person is not in any teams
Swiss Data Science Center
Data science has become extremely important internationally, with the majority of top-tier international research and teaching institutions investing significantly in dedicated centers and programs. In this context, the ETH Domain launches the Initiative for Data Science in Switzerland to accelerate data science through both an expansion ofeducation and research, and the provision of infrastructure for data science users across disciplines. The Initiative creates both Master courses in data science at EPFL and ETH Zurich, and the Swiss Data Science Center (SDSC), a joint venture between EPFL and ETH Zurich. The mission of the SDSC is to accelerate the adoption of data science and machine learning techniques broadly within academic disciplines of the ETH Domain, the Swiss academic community at large, and the industrial sector.