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.

Exploration of press articles related to Covid-19 at the European level within the Covid-19 Museum

2023Masters Projects@Mathematics and Statistics +Computer Science+Mathematics/Statistics+Linguistics #Covid-19 Museum#Newspaper analysis#Timeline  Project Summaryto be updated. Yves Rozenholc Projects in the same discipline

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,...

Deep Learning-based EEG Epilepsy Detection and Analysis

2023Strategic Projects@Computer Science +Medicine # EEG analysis#epileptic pattern detection#deep learning#active learning  Project SummaryElectroencephalogram (EEG) is one of the most common and essential medical signal collected by neural scientists for the analysis...

Deep learning-based prediction of protein-carbohydrate interactions

2024 Master's Projects @Biology#protein-carbohydrate interactions #deep learning #structural bioinformatics  Project Summary Protein-carbohydrate interactions govern a wide variety of biological processes and play an essential role in the development of different...

Design principles of property graph languages

2021 PhD/ DIAI Projects @ED 386 : Sciences Mathématiques de Paris CentrePhD studentAlexandra ROGOVA (IRIF, DI ENS)   SupervisorsAmélie GHEERBRANT (IRIF, UPC),Leonid LIBKIN (Laboratory for Foundations of Computer Science, University of Edinburgh)  Project...

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...

Metamorphoses and optimal transport for the multimodal registration of brain tumor images

2021 PhD/ DIAI Projects @ED386PhD studentGuillaume Serieys (MAP5, Université Paris Cité, CNRS) SupervisorJoan Alexis Glaunès  Project Summary   Medical imaging often involves nonlinear space-valued images, where pixel or voxel values belong to more complex...

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...

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...

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...