Data Intelligence Institute of Paris

 

The Data Intelligence Institute of Paris (diiP) completed its lifecycle in December 2024. These pages remain active in order to give easy access to all the material produced and gathered during the previous years; most notably to the Distinguished Lectures, as well as to the Seminars and Hands-On Workshops organized by diiP on data science introductory and advanced topics (in the menu, under “Events”).

The Data Intelligence Institute of Paris (diiP) is an interdisciplinary initiative of Université Paris Cité. It is a laboratory that fosters and supports the emergence of interdisciplinary practices around data science and data intelligence. It gathers researchers from formal sciences, physical sciences, life sciences and social sciences.

“The mission of diiP is to foster a new wave of scientific discoveries by enabling scientists and practitioners to make sense of their large and complex data, and achieve breakthroughs that would not otherwise be possible.”

Prof. Themis Palpanas

Director of diiP

.

diiP Projects

PhD Scholarships

 

Several PhD Scholarships (supported by the ANR Data Intensive Artificial Intelligence -DIAI- project) will be offered by diiP (starting on academic year 2021-2022) for students working on interdisciplnary projects on topics related to data intensive artificial intelligence.

Strategic projects

 

The diiP institute will host and partly finance a small number of interdisciplinary Strategic Projects, of duration up to 12 months each, with the goal to contribute to both the analysis and implementation aspects.

Master’s Internships

 

The diiP institute will organize and finance several six-month Masters students Internship Projects on data science, in connection to interdisciplinary collaborations.

Digital Pathology: when AI meets with anatomo-pathology

2021 Strategic Projects @Computer Science +Engineering+Biology+Medicine #Digital Pathology#Immuno-therapy#Computer Vision#Deep Learning  Project Summary The fundamental question we address is: How to predict immunotherapy-related gene classes of tumor just by the...

Metamorphoses and optimal transport for the multimodal registration of brain tumor images

2021 PhD/ DIAI Projects @ED386PhD studentGuillaume Serieys (MAP5, Université Paris Cité, CNRS) SupervisorJoan Alexis Glaunès  Project Summary   Medical imaging often involves nonlinear space-valued images, where pixel or voxel values belong to more complex...

A Simulated body approach to MRI-based fetal monitoring

2024 Strategic Projects@Computer Science #simulated bodies#amortised inferences#inductive bias#fetus#MRI    Project Summary Decision and Bayesian Computation (DBC)—Epiméthée (EPI) is a lab at the Institut Pasteur that hosts theoretical physicists and applied...

Automatic detection and location of hydro-acoustic signals linked to Mayotte submarine eruption

2022Masters Projects@Earth Sciences and Geosciences +Computer Science+Mathematics/Statistics #Mayotte#hydro-acoustic event#template matching Project SummarySubmarine volcanic eruptions generate numerous seismic and hydro-acoustic signals (West Mata, Axial Seamount)...

EStimation of Pollutant Emissions from REmote sensing data and deep Learning (ESPEREL)

2024 Strategic Projects@Chemistry #simulated bodies #amortised inferences #inductive bias #fetus #MRI Project Summary Air pollution is the biggest environmental risk to health, which highlights the need for effective estimation of pollutant emissions. Improvements in...

Mining molecular dynamics open data

2023Masters Projects@Biology +Computer Science+Linguistics #RNA modeling#force-field optimization#biomolecular simulations  Project Summaryto be updated. Pierre Poulain  Projects in the same discipline

Smoothing of incomplete air pollution regions of interest from satellite observations

2021Masters Projects@Computer Science +Physics/Astronomy #image analysis#segmentation#air pollution#ozone#satellite imaging Project SummaryEnvironmental questions such as atmospheric pollution and climate change are key issues for our modern society to live in a more...

Generalization of a method enabling to update vineyard geographic databases from satellite data

2023Masters Projects@Computer Science +Earth Sciences/Geosciences #image time series analysis#deep learning#optical satellite imagery#agriculture monitoring#crop type mapping#vineyard#VENUS images Project Summaryto be updated. Camille Kurtz Projects in the same...

Dark energy studies with the Vera Rubin observatory LSST & Euclid-developing a combined cosmic shear analysis with bayesian neural networks

2021PhD/ DIAI Projects@ED 560 : Sciences de la Terre et de l’Environnement et Physique de l’Univers de Paris (STEP'UP) PhD studentJustine ZEGHAL (AstroParticule & Cosmologie, UPC) SupervisorsEric AUBOURG (APC, UPCAlexandre BOUCAUD (APC, UPC)Cécile ROUCELLE (APC,...

Leveraging multivariate geophysical and geochemical time series for monitoring volcanic systems: can we use machine learning?

2022 PhD/ DIAI Projects @Matthieu NougaretPhD student at Institut de Physique du Globe de Paris. Doctoral school 560.diiP, IdEx Université Paris Cité, ANR-18-IDEX-0001.   Charles Le LosqUniversité de Paris, Institut de physique du globe de Paris, CNRSLise...