Oscar Mojica
Technical Consultant at SENAI CIMATEC
Bahia, Brazil
Summary
👤
Senior🎓
Top SchoolOscar Mojica is a technical consultant and geoscientist with nine years of experience applying high-performance computing to seismic imaging and wave-propagation problems. Based at SENAI CIMATEC in Bahia, Brazil, he develops and optimizes Fortran and Python code for anisotropic wave simulations, GPU acceleration, MPI parallelism, and production-grade HPC workflows. He led a Shell-sponsored research project that implemented parallel optimization techniques to bootstrap full-waveform inversion, and today implements anisotropic FWI and least-squares RTM in Devito. An active open-source contributor, he contributed TTI qP-wave kernels and adjoint-test improvements to the widely used Devito finite-differences framework. Combining a PhD-level background in geophysics with hands-on code optimization and performance testing, he brings a rare mix of domain science and low-level HPC engineering.
9 years of coding experience
Bacharelado, Geology/Earth Science, General, Bacharelado, Geology/Earth Science, General at Universidad Industrial de SantanderDoutorado, Geofísica, Doutorado, Geofísica at UFBA - Universidade Federal da Bahia
Spanish, Portuguese, English
Github Skills (8)
partial-differential-equations10
finite-difference10
difference10
computational-physics10
python10
dsl9
compiler-compiler9
compiler9
Programming languages (4)
Github contributions (5)
devitocodes/devito
Apr 2020 - Aug 2022
DSL and compiler framework for automated finite-differences and stencil computation
Role in this project:
Backend Developer
Backend DeveloperContributions:40 reviews, 68 commits, 9 PRs in 2 years 4 months
Contributions summary:Oscar contributed to the development of the TTI (Transversely Isotropic) pure qP-wave equation implementation. They implemented finite-difference kernels and stencils related to the TTI wave equation. Their work involved defining the mathematical equations and incorporating them into the Devito framework, as well as adjusting the code based on flake8 rules and improving adjoint tests. These changes indicate contributions toward the numerical simulation of wave propagation in anisotropic media.
code-generationautomatic-differentiationfinite-differencecompilerultrasound-imaging
ofmla/seiscope_opt_toolbox_w_ctypes
Feb 2021 - Sep 2022
This repo shows how to use SEISCOPE optimization toolbox Fortran code from Python
Contributions:8 releases, 193 commits, 6 PRs in 1 year 7 months
gradient-based-optimisationpythongeophysicstoolboxoptimization
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