Paul Goyes

Scientific Researcher at Universidad Industrial de Santander

Bucaramanga, Santander, Colombia
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Summary

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Paul Goyes is a multidisciplinary scientific researcher and PhD candidate in Computer Science with nine years of experience at the intersection of geoscience and computational methods. Trained as a geologist and geophysicist (BSc, MSc), he develops inverse-theory and deep-learning solutions to enhance seismic imaging and design cost- and environment-conscious seismic acquisition for Colombian basins. His work spans academic and industry collaborations—from Ecopetrol and field geology to research internships at Washington University in St. Louis and ENSEEIHT—bringing practical field insight to computational imaging problems. Currently leading domain-adaptation research to improve seismic images in emerging basins, he combines hands-on acquisition knowledge with advanced ML approaches, an uncommon blend that accelerates applied geoscience innovation.
code9 years of coding experience
job3 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Universidad Industrial de Santander
bookMaster's degree, Geophysics and Seismology, Master's degree, Geophysics and Seismology at Пермский Государственный Университет (ПГУ)
bookSpecialist in environmental geotechnics, Geotechnical and Geoenvironmental Engineering, Specialist in environmental geotechnics, Geotechnical and Geoenvironmental Engineering at Universidad de Santander
languagesEnglish, Russian
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Github Skills (54)

rtm9
geodesy8
cwp8
seek8
tar8
sympy8
earthquake8
reproducible-science7
abaqus7
dsl7
geoscience7
code-generation7
compiler-optimization7
finite-difference7
geophysics7

Programming languages (6)

ShellCAGS ScriptHTMLJupyter NotebookPython

Github contributions (5)

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Contributions:20 commits, 19 pushes, 1 branch in 2 years 2 months
PAULGOYES/pylops_seismic_cs

Jul 2021 - Oct 2023

Contributions:9 pushes, 1 branch in 2 years 3 months
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