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,...

Biomarker prediction from images of histological slides of cancerous tissues using modern AI techniques: comparisons of different neural architectures

2024 Master's Projects@Medicine #Digital Pathology#Transformer  Project Summary Our project involves linking digital pathology and the genomic analysis of tumors, particularly for immunotherapy applications. These images are very large and have multiple resolutions....

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,...

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

Deep Mendelian Randomization: explaining causality between different hereditary traits at genome-wide scale

2024 Master's Projects@Mathematics/Statistics #Mendelian Randomization#Deep Learning#Double Machine Learning#Genomics#Pleiotropy  Project Summary Mendelian Randomization is a method that infers the causality between risk factors and diseases using genetic variants as...

Identification of image circulation by AI in large collections of historical photographs

2024 Master's Projects @Computer Science#computer vision#digital humanities#artificial intelligence#history of photography  Project Summary There is a blind spot for both the humanities and computer science when one considers the mass of heritage photographs now...

Veracity assessment framework for discovering social activities in urban big datasets

2022Masters Projects@Computer Science +Political Science+Economics+Sociology #veracity#value#big data#quality#social scientists Project SummaryA particular recent trend for social scientists is to understand the potential of big data in complementing traditional...

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...

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...

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...