Head of Scientific Partnerships, Data Sciences Platform at Broad Institute of MIT and Harvard
Interested in the application of data science and software engineering to Next Generation Sequencing (NGS) and scientific computing. Most recently, developing software focusing on single-cell RNA-Seq (including sequence and expression analysis) and conducting related workshops. Additionally, current development projects include de novo assembled and reference-based population derived RNA-Sequencing methodology and downstream pipelines including subsequent variant calling and fusion detection. Earlier experiences include developing methodology and associated software for the analysis of metagenomic data sets (WGS and 16S) and statistical techniques for microbial biomarker detection in sparse, high-dimensional data.
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