Jennifer Scora is an Associate Program Scientist with a PhD in Astronomy and eight years of experience translating complex simulation data into clear scientific insights. She specializes in N-body simulations of planet formation, leveraging Python, Fortran, and HPC-friendly Unix workflows to probe how collisions shape rocky exoplanet composition. Passionate about data visualization, she combines technical rigor with communication skills honed through teaching and planetarium presentations. At Sidrat Research she applies her research-grade data analysis to program science, bringing both academic depth and practical tooling experience to interdisciplinary teams. An eye for nuanced parameter effects and a steady background in hands-on simulation work make her adept at turning noisy outputs into actionable conclusions.
8 years of coding experience
6 years of employment as a software developer
Honours Bachelor's of Arts and Science and Physics, Honours Bachelor's of Arts and Science and Physics at McMaster University
Doctor of Philosophy - PhD, Astronomy and Astrophysics, Doctor of Philosophy - PhD, Astronomy and Astrophysics at University of Toronto
Quantile Parametrization for probability distribution functions module
Contributions:2 reviews, 2 PRs, 154 pushes in 4 months
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