Summary
Gina Turco is a computational biologist with 15 years of experience combining experimental roots in molecular genetics with deep expertise in multi-omics analysis and predictive systems biology. She has led and developed scalable genomic pipelines and novel modeling algorithms in Python and R across academia and industry, including roles at Calico and currently at Golgi in San Francisco. Her work spans single-cell and bulk RNA-seq, epigenomics, GRN modeling, and visualization—sometimes building web-based tools (Shiny, cytoscape.js) to make complex networks accessible. Comfortable with HPC and cloud environments (XSEDE, AWS, HTCondor) and production practices (git, unit testing), she bridges wet-lab insight and computational rigor. Notably, her PhD projects produced a 244-node gene regulatory network and nonlinear models linking expression patterns to cell identity, reflecting a talent for turning large genomic datasets into predictive, biologically interpretable models.
15 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Systems Biology, Doctor of Philosophy (Ph.D.) Systems Biology at University of California, Davis
University of California, Irvine