Summary
Diego Domenzain is a computational geophysicist with nine years of R&D experience building high-performance scientific software for subsurface imaging, now developing cloud- and GPU-accelerated solutions at Seequent. He specializes in inverse problems, non-linear optimization, and numerical modeling, delivering sharper electromagnetic and radar-based images used across mining, environmental, and civil engineering projects. His work bridges academic rigor—PhD from Boise State and postdocs at Colorado School of Mines and Aarhus University—with practical impact, having led industry-tested projects that improve resolution while reducing compute and time. Diego has published and reviewed peer-reviewed research, mentored students, and helped integrate instrument design with algorithm development. Colleagues describe him as a problem-solver who reuses elegant mathematical ideas from discrete math and optimization to tackle real-world subsurface challenges. He is based in Aarhus and brings a rare combination of deep theory, GPU/cloud engineering, and field-proven results.
9 years of coding experience
3 years of employment as a software developer
PhD Geophysics, Geophysics and Seismology, PhD Geophysics, Geophysics and Seismology at Boise State University
Master of Science - MS, Mathematics, Master of Science - MS, Mathematics at Michigan Technological University
Universidad Nacional Autónoma de México (UNAM)
French, Spanish, English