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.

Monitoring the seismic activity of Mayotte through image processing of fiber optic signals

2022Masters Projects@Computer Science +Mathematics/Statistics+Earth Sciences/Geosciences #Earthquake#fiber optics#image analysis#event detection Project SummaryThe seismicity in Mayotte is monitored daily using the seismic stations installed on the island. Retailleau...

Diffusion Models Based Visual Counterfactual Explanations

2024 Masters Projects @Computer Science    #Visual counterfactual explanations #Diffusion Models #Identification of subtle phenotypesProject Summary to be updated   Valerie MezgerProjects in the same discipline

Deep Learning-based EEG Epilepsy Detection and Analysis

2022Masters Projects@Neuroscience +Computer Science #EEG#epilepsy#epileptic pattern detection and analysis  Project SummaryElectroencephalogram (EEG) is one of the most common and essential medical signal collected by neural scientists for the analysis of nerve...

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,...

A Simulated body approach to MRI-based fetal monitoring

2024 Strategic Projects@Computer Science #simulated bodies#amortised inferences#inductive bias#fetus#MRI    Project Summary Decision and Bayesian Computation (DBC)—Epiméthée (EPI) is a lab at the Institut Pasteur that hosts theoretical physicists and applied...

Prediction of protein-carbohydrate binding sites using deep learning methods

2023Masters Projects@Biology +Computer Science+Mathematics/Statistics+Chemistry+Bioinformatics #protein-carbohydrate interactions#deep learning#structural bioinformatics  Project Summaryto be updated. Tatiana Galochkina  Projects in the same discipline

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...

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...

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...

Towards design of protein knottin using deep learning

2024 Master's Projects@Biology #Transformers network finetuning#Structural bioinformatics#Protein/peptide prediction interaction#Knottin  Project Summary The Project explores the design of protein knottins to target P-selectin and integrins involved in vaso-occlusive...