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.

DNA methylation in patients: A new meta-analysis of EPIC data across borders

2024 Master's Projects @Medicine#bio-informatics #epigenetics #DNA methylation #patient diagnosis  Project Summary Rare diseases (RD) affect over 300 million people globally, with many still lacking a confirmed diagnosis. The project aims to enhance the diagnosis...

Autoimmunity/inflammation Through RNAseq Analysis at the single Cell level for Therapeutic Innovation – ATRACTion

2021Strategic Projects@Medicine +Computer Science+Biology #Single Cell#Omics#Data Integration#Primary Immune Deficiencies#Personalized Medicine  Project SummaryPrimary Immune Deficiencies (PIDs) comprise different monogenic diseases related to developmental or...

Design principles of property graph languages

2021 PhD/ DIAI Projects @ED 386 : Sciences Mathématiques de Paris CentrePhD studentAlexandra ROGOVA (IRIF, DI ENS)   SupervisorsAmélie GHEERBRANT (IRIF, UPC),Leonid LIBKIN (Laboratory for Foundations of Computer Science, University of Edinburgh)  Project...

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...

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...

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...

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

“Search for features in astrophysical objects close to cosmic neutrinos”. An indirect approach to cosmic neutrino association with astrophysical objects

2022Masters Projects@Physics & Astronomy +Computer Science #Neutrino and Gamma-Ray Astronomy#Deep Learning#Real Data Analysis#Data Augmentation Project SummaryThe work proposed here is in the field of Astroparticle Physics, a sub-branch of Physics dealing with the...

Modeling genetic pleiotropy using machine learning to understand the human genetic architecture

2022Masters Projects@Mathematics and Statistics +Computer Science+Biology+Medicine #statistical genetics#pleiotropy#complex traits and diseases#post-genomic data#machine learning#GPU programming  Project SummaryNowadays in human genetics, one particular concept seems...

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