Summary
Lewis Li is a Research Scientist at Chevron Technology Company with 13 years of engineering and research experience focused on blending geostatistics, uncertainty quantification, and machine learning for reservoir management. He holds a PhD in Energy Resources Engineering (spatial statistics) and an MS in Electrical Engineering from Stanford, and began his career applying guidance, navigation, and controls expertise in aerospace before transitioning to subsurface problems. At Chevron since 2018, Lewis develops probabilistic algorithms informed by field data and has prior experience creating a stochastic seismic inversion method during a Shell PhD internship. His work sits at the intersection of rigorous spatial statistics and practical reservoir decision-making, enabling clearer risk-aware strategies for complex reservoirs. Based in Houston, he brings both deep academic rigor (4.0 PhD) and cross-domain systems thinking to applied energy research.
13 years of coding experience
2 years of employment as a software developer
BASc, Engineering Science, Aerospace Engineering, BASc, Engineering Science, Aerospace Engineering at University of Toronto
Doctor of Philosophy (PhD), Energy Resources Engineering, Spatial Statistics, 4.0/4.0, Doctor of Philosophy (PhD), Energy Resources Engineering, Spatial Statistics, 4.0/4.0 at Stanford University
English, Chinese