Projects

The objective of this project is to develop scalable techniques based on massive data distribution to enable the efficient detection of anomalies in large climate databases. The detection of anomalies in climate data can provide climatologists with insights into the behavior of variousclimatological variables, understanding of extreme events such as heatwaves and cold snaps, as well as the prediction of these types of events.

MUSE AI3P (2021-2024)

This project is led by Gabriel Krouk (CNRS, IPSiM) involving IMAG (André Mas) and Zenith (Antoine Liutkus, Patrick Valduriez). It combines experimental approaches (robotic phenotyping, transcriptomics) and modeling (deep learning in particular) to predict 1) gene regulatory networks and their different levels of interactions and 2) phenotypes of plant roots in response to their environment. AI3P combines the expertise of biologists, mathematicians, and computer scientists. The roots of plants are the essential place of the first steps of their nutrition and the entry of nutrients in the food chain to humans. These modern approaches developed by AI3P have the ambition, not only to provide fundamental knowledge on the functioning of plants, but also to propose tracks and computer tools to lift some barriers in plant improvement. This could contribute to the reduction of agricultural inputs to better feed us while protecting our environment.

MUSE MULTINODE (2021-2024)

This project promotes the collaboration between researchers in functional ecology (UMR CEFE) and Zenith (Antoine Liutkus). Our contribution lies in the development of new deep learning models for a better understanding of animal migrations.

We are participating in the Laboratory of Excellence (labex) NUMEV (Digital and Hardware Solutions, Modelling for the Environment and Life Sciences). Florent Masseglia and Patrick Valduriez have headed the theme on scientific data.

IBC is a PIA project to develop innovative methods and software to integrate and analyze biological data at large scale in health, agronomy and environment. Patrick Valduriez heads the workpackage on integration of biological data and knowledge that deals with data integration, scientific workflow management and data analysis.

Triton is an Inria lab. with the startup Beepeers in Sophia Antipolis to work on a scalable platform for developing social networks in mobile/Web environments.

VIPP (Vers une Identification Précoce des Pathologies) was a project funded by the labex NUMEV, with the goal of extracting useful knowledge in large volumes of cells from blood samples. The project involved the Zenith and Tatoo teams at LIRMM, the I3M lab working on statistics and the LCCRH lab on medical aspects. The project produced one patent and several research papers, and was the basis for a startup.

ModSiCS2020 (Modeling and Simulation of Complex Systems in 2020) headed by Patrick Valduriez and gathered a small number of experts in different disciplines (agronomy, bioinformatics, computer science, environmental science, life science, etc.) was set up by University of Montpellier to analyze the local situation, identify the critical research directions and propose concrete actions in terms of research projects, equipment facilities, human resources and training to be encouraged in Montpellier.

International