Emily Greenfest is a Senior Research Investigator and enterprise data architect with 15+ years designing AI-ready, FAIR-aligned data ecosystems that integrate heterogeneous scientific and clinical datasets for analytics and machine learning. At the University of Pennsylvania she leads development and project management for the NIAGADS Genomics Database, modernizing legacy systems into cloud-ready, high-volume platforms while enforcing provenance, metadata standards, and API-driven interoperability. Her background in evolutionary biology and computational genomics informs work across the full data lifecycle—from conceptual and semantic modeling to scalable ETL/ELT pipelines and RDF/resource cataloguing that preserved 15 years of curated consortium data. Experienced in leading multidisciplinary teams, she pairs rigorous research instincts with practical engineering to turn complex biomedical requirements into interoperable architectures. A former postdoc and educator, she also brings a rare combination of domain depth in genomics and hands-on systems design that enables cross-organization collaboration and reuse.
10 years of coding experience
8 years of employment as a software developer
B.A. Geology and Computer Science, B.A. Geology and Computer Science at Bryn Mawr College
Ph.D. Evolutionary Biology, Ph.D. Evolutionary Biology at University of Chicago
model and front-end template for the NIAGADS GenomicsDB
Contributions:802 commits, 105 PRs, 670 pushes in 3 years 3 months
front-endgenomicsdb
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