Summary
Dana Simard is a software engineer with 11 years of experience building scientific software and data systems for radio astronomy, currently contributing at Google after a postdoc at Caltech. She has a strong track record of turning complex physical models and high-throughput instrument data (multi-TB/s) into science-ready products, including automated calibration services that saved $35k/year and imaging pipelines that halved localization errors. Dana led a 6-person team commissioning the 63-element DSA-110 array, implementing continuous monitoring that boosted detection power by over 60%. She combines production-grade Python, parallelization (Dask), and systems-level thinking to bridge research and operational infrastructure. A published researcher with a PhD from the University of Toronto, she’s driven by extracting insight from large datasets and designing reproducible, scalable pipelines that enable new discoveries.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Astronomy and Astrophysics, Doctor of Philosophy - PhD, Astronomy and Astrophysics at University of Toronto
Bachelor's Degree, Physics, 4.28/4.3, Bachelor's Degree, Physics, 4.28/4.3 at Queen's University