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