I am passionate about bringing together data science and software engineering to accelerate science initiatives. Leveraging extensive experience with Next Generation Sequencing (NGS) assays, I have broad experiences in creating portals, cloud-native data centers, scalable analysis pipelines, and data modeling to support a variety of scientific initiatives. Most recently, leading projects focusing on single-cell genomics, previous experiences include de novo assembled and reference-based population derived RNA-Sequencing methodology (specifically variant calling and fusion detection), analysis of metagenomic data sets (WGS and 16S), statistical techniques for microbial biomarker detection in sparse high-dimensional data and the application of array technology to ovarian tumor research.
Listed skills include Bioinformatics, Computational Biology, Genomics, R, and 37 others.