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

.

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.

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)....

Studying the ability of teenagers to spot fake news over their usage-time on social networks

2022Strategic Projects@Psychology +Computer Science #fake news detection#symbolic AI Project SummaryThe spread of online fake news is emerging as a major threat to human society and democracy (Lazer et al., 2018). Now anyone with access to a phone or computer can...

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...

Statistical and machine learning methods for survival data: prediction, performance assessment and interpretability

2021PhD/ DIAI Projects@ED 386 : Sciences Mathématiques de Paris Centre PhD studentAriane CWILING(MAP5, UPC) SupervisorsOlivier BOUAZIZ (MAP5, UPC)Vittorio PERDUCA (MAP5, UPC)  Project Summary (Former title: Machine Learning for Survival Data Prediction with...

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

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....

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...

Compact representations to detect gravitational waves from extreme-mass ratio inspirals

2024 Master's Projects@Physics/Astronomy #Gravitational waves#extreme-mass ratio inspirals#data representations#neural networks  Project Summary Extreme Mass Ratio Inspirals (EMRIs), detectable only by the future space-based detector LISA, provide a unique opportunity...

Deeply Learning from Neutrino Interactions with the KM3NeT neutrino telescope

2022 PhD/ DIAI Projects @AstronomyParticle physics and graph neural networks Santiago PENA MARTINEZ Project Summary A new generation of neutrino experiments is in the horizon looking to explore many of the open questions on neutrino properties and searching for...

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...