Wenjie Wei
About Wenjie Wei
Wenjie Wei is a Principal Software Engineer at PGS, with extensive experience in software engineering and scientific computing. He has a strong background in parallel computing and seismic processing frameworks, having previously worked at Kongsberg Digital AS and Kongsberg Maritime.
Current Role at PGS
Wenjie Wei serves as a Principal Software Engineer at PGS, a position he has held since 2021. He is based in Oslo, Norway. In this role, he specializes in seismic processing frameworks, which are essential for advancements in geophysical data analysis. His expertise supports the development of software solutions that enhance the interpretation of seismic data.
Previous Experience at Kongsberg Digital AS
Prior to his current role, Wenjie Wei worked at Kongsberg Digital AS as a Senior Software Engineer from 2016 to 2021. During his five years in Asker, he contributed to various projects that focused on software development and engineering solutions within the digital sector.
Background in Software Engineering
Wenjie Wei has a solid foundation in software engineering, having worked at Kongsberg Maritime as a Software Engineer from 2012 to 2016. His four years in Asker involved the development of software solutions tailored to maritime applications. Additionally, he has experience as a Research Assistant at Simula Research Laboratory and as a Group Teacher at the University of Oslo.
Education and Expertise
Wenjie Wei holds a Doctor of Philosophy (PhD) in Math and Parallel Computing from the University of Oslo, achieved between 2008 and 2011. He also completed a Master's degree in High Performance Computing at The University of Edinburgh from 2004 to 2005. His educational background is complemented by a Bachelor's degree in Telecommunication from Xidian University, obtained from 1996 to 2001. He possesses expertise in various programming languages, including OpenMP, MPI, Python, C/C++, C#, Java, Fortran, and R.
Research and Specialization
Wenjie Wei has a strong background in scientific computing, particularly in applying parallel computing techniques to solve partial differential equations (PDEs). His research experience includes a PhD Fellowship at Simula Research Laboratory, where he focused on high-performance computing methodologies. His specialization in seismic processing frameworks positions him as a contributor to advancements in geophysical data analysis.