I am a Core Team member at the Bioconductor Project, working at the intersection of Data Science, Computational biology, and Software Engineering. My role is very interdisciplinary. Before this role, I worked as a Software engineer for the Galaxy Project at Johns Hopkins. I build tools, software, and infrastructure to enable data analysis for genomics. I currently focus on making R/Bioconductor based data science scalable on the Cloud.
I am passionate about open-source software, data science, and the R programming language. I have been a contributor to these two very successful open-source bioinformatics projects. Both Bioconductor and the Galaxy project are computational milestones in Bioinformatics, as listed in this Nature Review paper.
This website is a reflection of my work and ongoing learning and it is not limited to professional endeavors.