Mohamed Laib
Data Science Reseacher
Esch-sur-Alzette, Luxembourg, Luxembourg
Summary
👤
Senior🎓
Top SchoolMohamed Laib is a data science researcher and statistician with nine years of experience building statistical and machine learning methods for high-dimensional temporal, spatial, and remote sensing data. Based at LIST in Luxembourg, he has a strong academic track record from Université de Lausanne—where he developed a novel unsupervised feature selection algorithm, taught geomatics and geostatistics, and published R packages now on CRAN. He combines rigorous research (including peer-reviewed publications and conference presentations) with practical software delivery, authoring multiple R packages across projects in Europe and North Africa. Comfortable bridging theory and tooling, he often focuses on interpretable methods for complex environmental and geospatial datasets. Less obvious: he pairs deep methodological work with hands-on package development, making his research immediately reusable by practitioners.
9 years of coding experience
4 years of employment as a software developer
Doctor of Science, Doctor of Science at Université de LausanneMaster's degree, Applied statistics, Master's degree, Applied statistics at Université de Constantine
Arabic, French, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
time-series4
machine-learning4
mining4
orange4
python3
data-science2
data-mining2
Programming languages (1)
Github contributions (5)
mlaib/MFDFA
Aug 2017 - Jun 2019
Contributions:4 releases, 40 commits, 1 PR in 1 year 10 months
detrended-fluctuation-analysistime-series-analysismachine-learningfluctuation-analysistime-series
mlaib/SFtools
Jun 2017 - Feb 2021
Space Filling Based Tools for Data Mining
Contributions:1 release, 1 PR, 22 pushes in 3 years 7 months
orangepythonminingdata-sciencedata-mining
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