Jorge Espinosa
Postdoctoral Researcher at Yale University
New Haven, Connecticut, United States
Summary
👤
Senior🎓
Top SchoolJorge Espinosa is a postdoctoral researcher at Yale with nine years of experience in experimental particle astrophysics, specializing in neutrino detection and Monte Carlo simulation. He earned a PhD from The Ohio State University studying neutrino astronomy and developed and maintained AraSim, a C++ simulation framework for the Askaryan Radio Array. At Yale he contributes to the CUORE/CUPID neutrinoless double beta decay program, bringing hands-on expertise in data analysis and detector modeling. Jorge’s background includes multiple summer research roles at Argonne focused on prototype detector simulations, underscoring a consistent track record of translating complex instrumentation problems into robust simulation and analysis code. He maintains an active personal webpage and GitHub, reflecting a commitment to reproducible research and open scientific software.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at The Ohio State UniversityBS, Physics, BS, Physics at Universidad de Colima
Spanish, English
Github Skills (9)
ara10
monte-carlo10
simulation9
camp7
data-access7
python7
plot6
jekyll3
analyzer3
Programming languages (3)
Github contributions (5)
toej93/LobsterPlot
Oct 2021 - Apr 2022
Code to make the famous "Lobster Plot"
Contributions:2 reviews, 33 commits, 8 PRs in 6 months
plotpython
toej93/ARA_analysis
Jan 2019 - Oct 2021
Scripts used for ARA analysis
Contributions:328 commits, 2 PRs, 240 pushes in 2 years 9 months
arapython
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