Summary
Hui Xie is a Senior Research Scientist with a PhD in Electrical and Electronics Engineering and over two decades of commercial software development experience focused on data science, machine learning, optimization and numerical simulation for the oil and energy sector. At SLB he has progressed from postdoc to senior modeling engineer and now leads research efforts that blend advanced mathematics, electromagnetics and scalable C++/Python systems to solve formation-evaluation and inversion problems. He designs production-grade machine learning models and architectures while exploring ways to inject domain knowledge into deep networks, a recurring research interest reflected in his GitHub notes. Hui has a track record of leading technical communities—he chaired a global resistivity SIG—and routinely brings extra-scale parallel computing and applied-math rigor to industrial challenges. Based in Sugar Land, Texas, he pairs deep theoretical expertise with hands-on software engineering to translate complex physics into deployable tools.
9 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD), Electrical and Electronics Engineering, Doctor of Philosophy (PhD), Electrical and Electronics Engineering at Iowa State University
Bachelor of Science (BS), Electrical and Electronics Engineering, Bachelor of Science (BS), Electrical and Electronics Engineering at Zhejiang University
English, Chinese