Statistician / Machine Learning specialist

My expertise include: object-oriented classes for multi-modal complex data;

Machine-learning (tuning, benchmarking, resampling, ensemble);

meta-analysis and inferential models.

Recent projects:

Meta analysis of multi-assay data: proof of concept

Prototype meta-analysis demonstration for ImmuneSpaceR, using designated S4 objects https://www.bioconductor.org/help/course-materials/2017/BioC2017/DDay/LightningTalk/SessionII/ImmuneSpaceR.pdf

Bioc2mlr

R package to bridge between Bioconductor’s S4 complex genomic data container, to mlr, a meta machine learning aggregator package.

https://github.com/drorberel/Bioc2mlr

Recent and upcoming Conference Presentations