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.

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...

Machine Learning for Photometric redshift estimation of LSST galaxies

2023Masters Projects@Physics & Astronomy +Computer Science+Mathematics/Statistics #machine learning#convolutional networks#astrophysics  Project Summaryto be updated. Simona Mei Projects in the same discipline

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...

ComplexNeuroViz: Complexity Visualisation for Neural Machine Translation

2021Masters Projects@Linguistics +Computer Science #XAI (Explainable Artificial intelligence)#neural networks#neural machine translation#dataviz#linguistic complexity  Project SummaryThis project aims at improving visualisation of neural networks when they process...

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...

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...

Maintaining fairness for decision-making under social considerations

2024 Strategic Projects@Computer Science #Machine Learning#Data Drift#Fairness  Project Summary Machine learning (ML) is increasingly used to make decisions that highly impact applications like hiring, medical diagnosis, education and criminal justice, etc. All of...

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...

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...

Machine Learning techniques applied to eye movement analysis for early screening of learning disorders in young children

2021Masters Projects@Neuroscience +Computer Science #eye movement#learning disorders#machine learning  Project SummaryThere is a longstanding controversy about the existence of eye movement disorders and their role in dyslexia and school learning disorders. Using...