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.

Mining molecular dynamics open data

2023Masters Projects@Biology +Computer Science+Linguistics #RNA modeling#force-field optimization#biomolecular simulations  Project Summaryto be updated. Pierre Poulain  Projects in the same discipline

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...

Optimization of a physical force-field for simulations of non-coding RNA molecules

2022 Masters Projects @Biology +Computer Science+Physics/Astronomy #RNA modeling#force-field optimization#biomolecular simulations Project SummaryThe importance of the study of RNA molecules has been highlighted by the recent pandemic, with the SARS-CoV-2 virus...

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...

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...

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

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...

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...

Language-Independent Massive Network Attitudinal Embedding

2022Strategic Projects@Computer Science +Political Science #network embedding#sparse embedding ideological scaling#attitudinal data#ideologies#polarization#party systems  Project SummaryPublic opinion on different issues of public debate is traditionally studied...

Deep learning to model genetic pleiotropy to understand the human genetic architecture

2023Masters Projects@Computer Science +Mathematics/Statistics+Biology #Pleiotropy#Deep Learning#Convolutional neural network  Project Summaryto be updated. Marie Verbanck Projects in the same discipline