Develop internal software tools for our science and business teams to better serve our customers.

04/2011-02/2016: Career Computational Biologist Research Scientist08/2009-04/2011: Career-track Biologist Research ScientistProjects: Monarch Initiative (Lead Bioinformaticist) * Developed a unified specification and ETL system in python for integrating genotype, phenotype, pathway, ontology, and other biological information from >20 external datasources into a RDF graph database containing millions of nodes * Built a graph-based integrated geno-pheno resource from the ground up * Implemented graph-based search algorithms linking cross-species genotype-phenotype as a service * Contributed to development of phenotype-aware genomic (exome and whole genome) analysis tools for prioritization of rare-disease candidate variants. * Part of an international collaborative team, including with NIH Undiagnosed Disease Program, Sanger (EBI), Oregon Health and Science University, UC San DiegoThe modENCODE Data Coordination Center (Lead Biocurator) * Established data formats and curation best-practices for submission of experimental metadata for high-throughput experiments * Managed team for development of database for storing experimental metadata contributed by 10 NIH-funded labs * Wrote ETL and other automation scripts * Liaison with PIs and external wet and dry-lab scientists

The National Center For Biomedical Ontology - Informatics Core* developed open-source ontology-aware curation software for genotype-phenotype associations in Java * developed graph-based computational algorithms for the analysis of cross-species phenotype similarity* worked with international research groups and Model Organism Databases

Dissertation: Regulation of Membrane Fusion Events during Caenorhabditis elegans Spermatogenesis