Data Science for Earth, Space and Environmental Sciences
This action (WP1) will exploit the huge potential of applying modern data analytics in ESES. It will overcome disciplinary and technical barriers and provide new statistical and computational approaches, in particular for data in astrophysics to better characterize exoplanets, in oceanography to better infer vertical exchange in the ocean, and in ecology to reconstruct interaction networks between species.
Carlos Gomez is a data scientist. In October 2017, he was recruited by the Data Institute of the University Grenoble Alpes as a Junior Researcher in Data Science for Earth, Space and Environmental Sciences
Raphael Bacher is a research engineer in signal processing and data science. In December 2017, he was recruited by the Data Institute of the University Grenoble Alpes as a Research Engineer to develop collaborative tools for data science teachers and researchers (WP1 & 2).
Activities
- POSTPONED Data Institute Seminar: Learning & Ocean Big Dataon the May 23, 2018Due to strikes, the seminar is POSTPONED. Ronan Fablet (IMT Atlantique, Lab-STICC/TOMS) will give a talk on Learning & Ocean Big Data: data-driven modelling, analysis, and reconstruction of complex dynamical systems.
- Seminar: Machine learning and numerical models in geoscienceon the July 9, 2018The IGE is organizing a seminar about "Machine learning and numerical models in geoscience". It will take place on July 9th at 2pm at the IGE, Glaciologie building, on the campus of Grenoble.
Recruited
Carlos Gomez is a data scientist. In October 2017, he was recruited by the Data Institute of the University Grenoble Alpes as a Junior Researcher in Data Science for Earth, Space and Environmental Sciences
Raphael Bacher is a research engineer in signal processing and data science. In December 2017, he was recruited by the Data Institute of the University Grenoble Alpes as a Research Engineer to develop collaborative tools for data science teachers and researchers (WP1 & 2).