Data Science for Life Sciences

Life and health sciences are changing rapidly: new technologies provide large-scale individual data (“omics” data) that can be related to health-related outcomes and medical imaging data. Identifying predisposition factors for disease and making predictions about health is a tremendous challenge for data scientists that we will address by conceiving original data science methods, algorithms, and software to relate omics data to health-related traits. This action is the WP2 of Grenoble Alpes Data Institute.

Activities

Recruited


Raphael Bacher

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).


Magali Richard

Magali Richard
is a computational biologist specialized in experimental and theoritical genetic. In January 2018, she was recruited by the Data Institute of the University Grenoble Alpes as a Junior Researcher in Data Science for Life Sciences.