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.

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...

Exploring the similarities of a large bank of protein pockets in a perspective of multiple protein-ligand interactions prediction

2024 Master's Projects@Biology #Drug design in silico#Protein pocket mining#Ppocket druggability prediction  Project Summary With the growing availability of data in the field of drug discovery, AI methods are promising for guiding and accelerating the search process...

Enhancing earthquake location with domain adapation

2023Masters Projects@Earth Sciences and Geosciences +Mathematics/Statistics #Domain adaptation#machine and deep learning#volcano-seismology#earthquake catalogs  Project Summaryto be updated. Léonard Seydoux Projects in the same discipline

Multimodal assessment of the depth of sedation of severely ill patients in intensive care unit

2023Strategic Projects@Computer Science +Mathematics/Statistics+Engineering+Medicine+Neuroscience #anesthesia#signal processing#symbolic representations#physiological signals  Project Summaryto be updated. Laurent Oudre Projects in the same discipline

Investigating Diffusion Models for Astronomical Image Deconvolution – boosting the synergy between Euclid and LSST

2024 Master's Projects@Physics/Astronomy #diffusion models #image processing #deconvolution   🎉This project has been accepted at the ML4Physics workshop at NeurIPS!Project Summary This project tackles the problem of deconvolving astronomical images to uncover the...

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...

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,...

“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...

Digital Pathology: when AI meets with anatomo-pathology

2021Masters Projects@Computer Science +Mathematics/Statistics+Engineering+Medicine #Digital Pathology#Computer Vision#Deep Learning#Immuno-therapy  Project SummaryThe fundamental question we address is: How to predict immunotherapy-related gene classes of tumor just...

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,...