I am a Computational Biologist at Fred Hutch.

My expertise include: S4 classes for assay data, Machine-learning (tuning, benchmarking, resampling, ensemble), meta-analysis and inferential models.

Recent projects:

Meta analysis of multi-assay data: proof of concept

poster: 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.