Cinthya Herrera is a research engineer in data science and workflows with nine years of experience building scalable analysis pipelines for HPC, experimental facilities and large scientific instruments. She has deep hands-on expertise in Python, advanced image and spectral processing, workflow/container orchestration and linking atomistic simulations to experimental data (BigDFT, DFT theory). Her career spans leading roles at CEA, ILL and major radio/mm observatories where she developed CNNs for spectral classification, automated standardized data-reduction frameworks, and large-scale workflows for materials and battery research. Cinthya combines project and team management with strong scientific output—first-author papers, major contributions to PHANGS and operational leadership of NOEMA—and experience commissioning instrumentation and software. She is comfortable at the intersection of research and production: turning advanced numerical methods into reproducible, deployable pipelines for HPC and facility science. Based in Grenoble, she brings a rare blend of astrophysics-trained statistical modeling and practical workflow engineering for large experimental datasets.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at IAS
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