Data Intelligence Institute of Paris

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

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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.

Maintaining fairness for decision-making under social considerations

2024 Strategic Projects@Computer Science #Machine Learning#Data Drift#Fairness  Project Summary Machine learning (ML) is increasingly used to make decisions that highly impact applications like hiring, medical diagnosis, education and criminal justice, etc. All of...

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,...

Diffusion Models Based Unpaired Image-to-Image Translation to Reveal Subtle Phenotypes

2023Masters Projects@Computer Science +Mathematics/Statistics+Biology+neurodevelopment #Image-to-image translation#Deep generative models#Diffusion models#Subtle Phenotypes#Neurodevelopment Project SummaryUnpaired image-to-image translation methods aim at learning a...

Exploration intelligente de lames histologiques

2021PhD/ DIAI Projects@Informatique, télécommunications et électronique de Paris (EDITE) PhD studentZhuxian GUO (LIPADE, UPC)   SupervisorsNicolas LOMÉNIE (LIPADE, UPC)Camille KURTZ (LIPADE, UPC)Henning MÜLLER (unité Health Sierre, Suisse)  Project...

Transcriptomic Analysis using Intensive Randomization

2022Masters Projects@Computer Science +Mathematics/Statistics+Biology #Big data#RNA-seq#computational optimization#GPU parallelization#differential analysis Project SummaryNext-generation sequencing such as RNA-seq aims to quantify the transcriptome of biological...

Learning from deep sea light with KM3NeT

2022Strategic Projects@Physics & Astronomy +Biology+Earth Sciences/Geosciences #Neutrinos#Machine Learning#Bioluminescence#Graph Neural Networks Project SummaryNeutrinos are fundamental particles that are produced in a multitude of nuclear processes and permeate...

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)...

Automated segmentation and clustering of spICP-ToF-MS time series

2024 Strategic Projects@Earth Sciences/Geosciences #nanoparticles#spICP-ToF-MS#clustering#segmentation  Project Summary The detection and characterization of inorganic nanoparticles (NPs) in natural matrices has relied primarily on single-particle ICP-MS (spICP-MS)....

Deep learning for estimating gas concentration maps from satellite or airborne hyperspectral images

2024 Master's Projects@Mathematics/Statistics #hyperspectral imaging#atmospheric monitoring#earth observation#deep learning  Project Summaryto be updated. Andrés Almansaandres.almansa@parisdescartes.fr- Research Director at CNR Projects in the same discipline

Machine Learning techniques applied to eye movement analysis for early screening of learning disorders in young children

2021Masters Projects@Neuroscience +Computer Science #eye movement#learning disorders#machine learning  Project SummaryThere is a longstanding controversy about the existence of eye movement disorders and their role in dyslexia and school learning disorders. Using...