Carlos Romero-mirza is an Application Scientist with a Ph.D. in Astrophysics and eight years of experience applying statistical inference, probabilistic machine learning, and signal processing to extract insights from complex datasets. He bridges academic rigor and product-focused deployment, moving from postdoctoral radio interferometry and mid-IR spectroscopy at Harvard-affiliated centers to applied roles at industry partners like Inkbit. Carlos has a track record building scientific software—ranging from radiative transfer tools at NASA Goddard to a Python package for Spitzer photometry—so he’s comfortable shipping reproducible code that supports high-impact scientific decisions. Known for turning noisy, high-dimensional measurements into robust predictive models, he excels at translating domain knowledge into practical analytics for engineering and research teams.
7 years of coding experience
8 years of employment as a software developer
High School, High School at Universidad Panamericana
Bachelor Physics and Mathematics, Bachelor Physics and Mathematics at Grinnell College
Doctor of Philosophy - PhD Astronomy & Astrophysics, Doctor of Philosophy - PhD Astronomy & Astrophysics at Harvard University
Contributions:28 commits, 39 pushes, 1 branch in 1 month
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