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

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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.

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...

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

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)....

Combining visual and textual information for enhancing pathologic case retrieval systems in radiological practices

2022Masters Projects@Computer Science +Medicine #Case Retrieval#Machine Learning#Contrastive Learning#Variational AutoEncoders Project SummaryThe field of diagnostic imaging in Radiology has experienced tremendous growth both in terms of technological development...

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...

Modeling conditioned place preference test for evaluation of addictiveness of substances: toward experimental design optimization & smart data analysis

2024 Master's Projects @Biology Project SummaryEmmanuel Curisemmanuel.curis@u-paris.fr - Statisticien at Hôpital Lariboisière- Maître de conférences biomathématiques, biostatistiques at Université Paris Cité (Faculté de pharmacie) David Tseitline Nadia...

Tracking auto-immune diseases in electronic health record

2022Masters Projects@Medicine +Mathematics/Statistics+Biology #Rare diseases#Information retrieval#Knowledge graph#NLP#data mining#healthcare databases  Project SummaryThe collection of biomedical data requires a multitude of software tools for purposes ranging from...

Malvasia – MAchine Learning to VAlue Single Interferometer Analysis

2021Masters Projects@Physics and Astronomy +Computer Science+Mathematics/Statistics+Physics/Astronomy #gravitational wave#deep learning  Project SummaryThe direct observation of gravitational waves (GW) by the LIGO and Virgo detectors is one of the breakthrough...

Learning the magneto-ionic side of the turbulence in the interstellar medium in radio-astronomy

2022 PhD/DIAI Projects @AstrophysiqueJack Berat(LPENS, UPC)Project Summary The phase transition from warm neutral medium to cold neutral medium in the interstellar medium (ISM) is affected by the magnetic field. The polarization of the synchrotron emission is one of...