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.

Cosmologie – amas de galaxies – intelligence artificielle

2021 PhD/ DIAI Projects @Astronomie & AstrophysiquePhD student: Nicolas CERARDI (AIM, UPC)Supervisor: Marguerite PIERRE (AIM, UPC)  Project SummaryLa thèse a pour cadre le projet international de cosmologie XMM-XXL. Le but est de déterminer de manière indépendante...

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)...

Large image time series analysis for updating vineyard geographic databases

2021Masters Projects@Computer Science +Earth Sciences/Geosciences #image time series analysis#deep learning#data indexation#optical satellite imagery#agriculture monitoring#crop type mapping#vineyard#VENUS images  Project SummaryThe available geographic databases,...

Investigating regulatory B cell differentiation and their therapeutic effect in neuroinflammatory disease through single cell analyses and computational biology

2022Masters Projects@Computer Science +Mathematics/Statistics+Biology+Neuroscience #Systems Biology#Artificial Intelligence#Computational Sciences#Cell therapy#cell differentiation#neuroinflammation#high content single cell analyses Project Summaryto be updated. Simon...

Machine learning for the study of EEG data recorded during general anesthesia

2021Masters Projects@Mathematics and Statistics +Engineering+Medicine+Neuroscience #anesthesia#EEG#classification Project SummaryGeneral Anesthesia (GA) is a drug-induced, reversible condition with three commonly accepted goals: lack of experience of surgery,...

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

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...

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,...

Artificial Intelligence for source deblending in the next generation of astrophysical big data imaging surveys – Combining Euclid and LSST

2021Masters Projects@Physics and Astronomy +Computer Science+Mathematics/Statistics+Physics/Astronomy #cosmology#astrophysics#probabilistic deep learning#image processing  Project SummaryAstronomy, as many other disciplines, is entering a big data era. The next...

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