Rami Nammour
Advanced Numerical Methods Manager at TotalEnergies
Houston, Texas, United States
Summary
👤
Senior🎓
Top SchoolRami Nammour is an Advanced Numerical Methods Manager and research-driven geophysicist with nine years of industry experience applying computational and applied mathematics to energy problems. He leads inverse problems and uncertainty quantification efforts at TotalEnergies, bringing deep expertise in mathematical modeling, numerical simulation, and high-performance Julia programming. His Ph.D. from Rice University underpins a strong track record in preconditioning multi-parameter inverse problems and translating research into practical workflows for subsurface imaging and, increasingly, wind energy applications. Colleagues value his ability to bridge theory and engineering—designing scalable algorithms that perform in production HPC environments. He combines a physicist’s intuition with modern machine learning techniques for inverse problems, often pushing performance boundaries rather than relying on off-the-shelf tools.
9 years of coding experience
Ph.D., Computational And Applied Mathematics, Ph.D., Computational And Applied Mathematics at Rice UniversityMasters coursework, Physics, Masters coursework, Physics at American University of Beirut
Arabic, French, English
Github Skills (102)
programming-language10
rtm10
julialang10
root-finding10
science10
julia10
numerical10
machine-learning10
hpc10
petsc10
abaqus9
finite-difference9
compiler-optimization9
sympy9
code-generation9
Programming languages (3)
Github contributions (5)
raminammour/julia
May 2017 - Feb 2024
The Julia Language: A fresh approach to technical computing.
Contributions:10 pushes, 2 branches in 6 years 10 months
julia-languageapproachjulialangtechnical-computingpetsc
raminammour/DistributedArrays.jl
Aug 2018 - Nov 2022
Distributed Arrays in Julia
Contributions:7 pushes in 4 years 3 months
dataframesarraysdistributed-computingjuliahigh-performance
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