Summary
Natalia Quinones-Olvera is a computational and experimental biologist with a decade of research experience bridging systems, synthetic, and quantitative biology. Currently a Postdoctoral Associate in Feng Zhang’s lab at the Broad Institute, she combines hands-on wet-lab expertise with computational approaches developed during a PhD at Harvard and prior bioinformatics training at EMBL-EBI. Her work focuses on dissecting complex biological systems using integrated experimental designs and quantitative models, reflecting a rare hybrid skill set across molecular biology and data-driven analysis. Having trained in Mexico and Europe before completing her doctorate in Cambridge, she brings a global perspective and collaborative breadth to multidisciplinary projects.
10 years of coding experience
2 years of employment as a software developer
Universidad Nacional Autónoma de México (UNAM)
Doctor of Philosophy - PhD, Systems, Synthetic, and Quantitative Biology, Doctor of Philosophy - PhD, Systems, Synthetic, and Quantitative Biology at Harvard Kenneth C. Griffin Graduate School of Arts and Sciences