Lorenzo Mugnai is an astrophysicist-turned-research-software developer with nine years' experience building simulation and data-analysis tools for exoplanet atmosphere characterisation and mission planning. As a Postdoctoral Research Associate at Cardiff and contributor to ESA’s Ariel mission—with visiting work at JPL—he bridges instrumentation, statistical modelling, and machine learning to advance comparative planetology. He leads open-source projects under mug-n-AI (notably AstrOmakase and TaskTide), championing reproducible, community-driven software and open research practices. Comfortable moving between code, telescope simulators and science communication, he also mentors early-career researchers and runs public outreach initiatives. Unconventional past roles—from wilderness mapping in the Yukon to years as a personal trainer—inform his pragmatic, collaborative approach to complex scientific problems.
8 years of coding experience
2 years of employment as a software developer
Bachelor degree, Physic and astrophysic, Bachelor degree, Physic and astrophysic at Università degli Studi di Firenze
Maturità Scientifica, Maturità Scientifica at Liceo Scientifico
Doctor of Philosophy - PhD, Astronomy, Astrophysics and Space Science, Doctor of Philosophy - PhD, Astronomy, Astrophysics and Space Science at Sapienza Università di Roma
Rapoc uses molecular absorption measurements (i.e. wavelength-dependent opacities) to calculate Rosseland and Planck mean opacities that are commonly used in atmospheric modelling.
Contributions:5 releases, 18 commits, 1 PR in 1 year 7 months
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