Marcel Ramos, MPH

Research Associate

Marcel Ramos is a Research Associate with a Master in Public Health from the CUNY School of Public Health. His recent projects include developing a software infrastructure for representing and analyzing data from multiple complementary genomics experiments and creating a reproducible data preprocessing pipeline with data from The Cancer Genome Atlas in order to facilitate analysis by providing clean and ready-to-use datasets. He is also part of the Bioconductor core team, a group focused on providing software tools for analyzing high-throughput genomic datasets. He works mostly with the R statistical programming language. He is fluent in Spanish, French and Italian.

Recent publications:

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Waldron L, Schiffer L, Azhar R, Ramos M, Geistlinger L, Segata N. Improving Accessibility of the Human Microbiome Project Data Through Integration With R/Bioconductor. Am J Epidemiol. 2019 Jan 23. doi: 10.1093/aje/kwz008. [Epub ahead of print]

Davis S, Ramos M, Shepherd L, Turaga N, Geistlinger L, Morgan MT, Haibe-Kains B, Waldron L. Orchestrating a community-developed computational workshop and accompanying training materials [version 1; referees: 2 approved]. F1000Research 2018, 7:1656

Pasolli E, Schiffer L, Manghi P, Renson A, Obenchain V, Truong DT, Beghini F, Malik F, Ramos M, Dowd JB, Huttenhower C, Morgan M, Segata N, Waldron L. Accessible, curated metagenomic data through ExperimentHub. Nat. Methods 2017, 14:1023–1024.

Ramos M, Schiffer L, Re A, Azhar R, Basunia A, Rodriguez C, Chan T, Chapman P, Davis SR, Gomez-Cabrero D, Culhane AC, Haibe-Kains B, Hansen KD, Kodali H, Louis MS, Mer AS, Riester M, Morgan M, Carey V, Waldron L. Software for the Integration of Multiomics Experiments in Bioconductor. Cancer Res. 2017, 77:e39–e42.

Kannan L, Ramos M, Re A, El-Hachem N, Safikhani Z, Gendoo DM, Davis S, Gomez-Cabrero D, Castelo R, Hansen KD, Carey VJ, Morgan M, Culhane AC, Haibe-Kains B, Waldron L. Public data and open source tools for multi-assay genomic investigation of disease. Briefings in bioinformatics. 2016;17(4):603-15.

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