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.

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...

Monitoring the seismic activity of Mayotte through image processing of fiber optic signals

2022Masters Projects@Computer Science +Mathematics/Statistics+Earth Sciences/Geosciences #Earthquake#fiber optics#image analysis#event detection Project SummaryThe seismicity in Mayotte is monitored daily using the seismic stations installed on the island. Retailleau...

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...

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...

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,...

Random projections for the reduction of gravitational wave template banks

2022Masters Projects@Physics & Astronomy +Computer Science #gravitational-wave astronomy#data reduction#random projections#optical processing units  Project SummaryThe direct observation of gravitational waves by the LIGO and Virgo detectors is one of the...

Deep learning-based prediction of protein-carbohydrate interactions

2024 Master's Projects @Biology#protein-carbohydrate interactions #deep learning #structural bioinformatics  Project Summary Protein-carbohydrate interactions govern a wide variety of biological processes and play an essential role in the development of different...

Accelerate Discoveries (boosting) Astroparticle Physics (analysis) Techniques – ADAPT

2024 Strategic Projects @Physics/Astronomy #Self-supervised Learning#Semi-supervised Learning#Sensitivity enhancement#Data Analysis based on AI Project Summary The aim of the ADAPT project was to develop a novel analysis strategy for the KM3NeT astroparticle physics...

Deep learning to model genetic pleiotropy to understand the human genetic architecture

2023Masters Projects@Computer Science +Mathematics/Statistics+Biology #Pleiotropy#Deep Learning#Convolutional neural network  Project Summaryto be updated. Marie Verbanck Projects in the same discipline

Prediction of protein-carbohydrate binding sites using deep learning methods

2023Masters Projects@Biology +Computer Science+Mathematics/Statistics+Chemistry+Bioinformatics #protein-carbohydrate interactions#deep learning#structural bioinformatics  Project Summaryto be updated. Tatiana Galochkina  Projects in the same discipline