Scientific Researcher at Universidad Industrial de Santander
Bucaramanga, Santander, Colombia
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Summary
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Senior
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Top School
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.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Universidad Industrial de Santander
Master's degree, Geophysics and Seismology, Master's degree, Geophysics and Seismology at Пермский Государственный Университет (ПГУ)
Specialist in environmental geotechnics, Geotechnical and Geoenvironmental Engineering, Specialist in environmental geotechnics, Geotechnical and Geoenvironmental Engineering at Universidad de Santander
Contributions:9 pushes, 1 branch in 2 years 3 months
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