Lucas Schiffer is a Research Associate at the ISPH. He has worked extensively in microbiome data analysis and focuses on reproducible methods using the R language. Prior to his work in bioinformatics, he studied in the health-related basic sciences and was a volunteer EMT. Most of all he enjoys using statistics and data science to find creative solutions to public health challenges. He is fluent in Portuguese and Spanish. He is a graduate of the MPH program at the CUNY School of Public Health & Health Policy.
Lucas is pursuing his doctoral degree in Bioinformatics at Boston University.
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]
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.