Swiss Data Science Center
Ekaterina Krymova is an accomplished data scientist with extensive experience in academia and industry. Currently serving as Lead Data Scientist at Swiss Data Science Center since November 2019 and as Senior Scientist and Lecturer at ETH Zürich since January 2022, Ekaterina has a solid background in research and teaching. Previous roles include Researcher at the University of Duisburg-Essen, Lecturer at the National Research University – Higher School of Economics, and Senior Researcher at the Institute for Problems of Information Transmission. Ekaterina's educational qualifications include a PhD in Applied Mathematics from the Moscow Institute of Physics and Technology (State University), complemented by a Master's and Bachelor's degree in the same field. The combination of practical and academic expertise makes Ekaterina a valuable contributor in the field of data science.
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.