Events Science and Research BioC2020

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July 27 - 31, 2020. Online, USA

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84 Speakers

45 Talks

5 Days

38 Hours of content

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About the Event

Topic: Science and Research

BioC2020 highlighted current developments within and beyond the Bioconductor project.

#bioc2020 #bioconductor #dna methylation #epidemiology #functional enrichment #human rna #probabilistic gene #public data resources #visualizations

Stephanie Hicks

Assistant Professor at Johns Hopkins Bloomberg School of Public Health

I am an Assistant Professor in the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health. I received my B.S. in Mathematics from LSU and my M.A. and Ph.D. from the Department of Statistics at Rice University under the direction of Marek Kimmel and Sharon Plon. I completed my postdoctoral training with Rafael Irizarry in the Department of Biostatistics and Computational Biology at Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health. This postdoctoral research resulted in a K99/R00 grant from the ‘National Human Genome Research Institute (NHGRI) to develop statistical methods for the normalization and quantification of single-cell RNA-Sequencing data.

My broad research interests focus around developing statistical methods and tools in application for genomics, epigenomics, functional genomics and most recently, single-cell data. Specifically, my research addresses statistical challenges such as the pre-processing, normalization, analysis of raw, noisy high-throughput data (microarray and next-generation sequencing) leading to an improved quantification and understanding of biological variability.

Federico Marini

Postdoctoral Fellow at IMBEI, University Medical Center Mainz

I am a Postdoctoral Virchow Fellow at the Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI) and at the Center for Thrombosis and Hemostasis (CTH) in Mainz, Germany.

My research interests involve the development of methods and software for interactive and reproducible research, bringing together the fields of bioinformatics, statistics, genomics, and biology. I can do this thanks to the joint supervision of Prof. Wolfram Ruf and Prof. Miguel Andrade.

Leonardo Collado Torres

Investigator at Lieber Institute for Brain Development

At the Lieber Institute for Brain Development, I am part of the Data Science Team I led by Andrew E Jaffe. My research aims to better understand the roots and signatures of disease (particularly psychiatric disorders) by zooming in across dimensions of gene activity: from studying gene expression at all feature levels (genes to exons to exon-exon junctions and un-annotated regions of expression), to using different gene expression measurement technologies (bulk RNA-seq, single cell/nuclei RNA-seq to spatial transcriptomics) that provide finer biological resolution and localization of gene expression. I'm interested in both hypothesis-driven projects as well as building general resources such as recount2 that enable us to contextualize our findings across all of the public human gene expression landscape. I use the R programming language for nearly all my work and like to organize my code in R packages that I share mostly through the Bioconductor project. From my position at LIBD, I'm able to interact with and collaborate with fantastic biologists, data scientists, researchers at Johns Hopkins University and beyond. Furthermore, I officially help mentor LIBD employees in data science and R tools.

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