Clement Etienam is a Senior DevTech for Energy at NVIDIA with eight years’ experience bridging inverse problems, reservoir simulation, HPC and machine learning to accelerate energy and subsurface modelling. He holds a PhD in inverse problems from the University of Manchester and pioneered ensemble-based data assimilation coupled with unsupervised learning for reservoir characterisation during his thesis. His postdoc at Oak Ridge produced novel methods (CCR and mixtures of Gaussian process experts with neural gating) for learning highly nonlinear, discontinuous functions used in large-scale surrogate modelling on GPUs. At NVIDIA he translates cutting-edge research into customer-facing HPC and ML solutions for energy workflows, with applied strengths in physics-informed ML, Bayesian inversion and 4D seismic/EM data fusion. Outside work he pursues chess and neuroscience reading and aims to apply cognitive AI toward breakthroughs in neurodegenerative disease research.
8 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.Sc.) Chemical Engineering (Thesis focus: Drilling mud engineering), Bachelor of Science (B.Sc.) Chemical Engineering (Thesis focus: Drilling mud engineering) at University of Lagos
Post-doctorate Applied Mathematics, Post-doctorate Applied Mathematics at The University of Manchester
Master’s Degree Petroleum Engineering (Thesis focus: Mathematical modelling & Drilling Engineering), Master’s Degree Petroleum Engineering (Thesis focus: Mathematical modelling & Drilling Engineering) at Robert Gordon University
West African Senior School Certificate Examination, West African Senior School Certificate Examination at Kings College Lagos
Contributions:17 commits, 16 pushes, 1 branch in 1 year 4 months
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Clement Etienam - Senior DevTech For Energy at NVIDIA