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.

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...

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...

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...

Machine learning model of volcanic lava properties helps understanding the dynamics of volcanic eruptions

2021Masters Projects@Earth Sciences and Geosciences +Chemistry #melt#glass#material#properties#neural networks#thermodynamics  Project SummaryHow do molten silicate melts move? How do they exchange heat with their surrounding? How do they crystallize? These...

Learning the magneto-ionic side of the turbulence in the interstellar medium in radio-astronomy

2022 PhD/DIAI Projects @AstrophysiqueJack Berat(LPENS, UPC)Project Summary The phase transition from warm neutral medium to cold neutral medium in the interstellar medium (ISM) is affected by the magnetic field. The polarization of the synchrotron emission is one of...

Transcriptomic Analysis using Intensive Randomization

2022Masters Projects@Computer Science +Mathematics/Statistics+Biology #Big data#RNA-seq#computational optimization#GPU parallelization#differential analysis Project SummaryNext-generation sequencing such as RNA-seq aims to quantify the transcriptome of biological...

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,...

Inferring cultural transmission of reproductive success through machine learning methods

2021Masters Projects@Biology +Computer Science+Mathematics/Statistics+History #Bioinformatics#Population Genomics#High computationnal statstical methods#Population history  Project SummaryCultural transmission of reproductive success has been observed in many human...

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...

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