Summary
Longfei Li is a Sr. Staff R&D Engineer with over a decade of experience building high-performance scientific software and data-driven models using C++, Python, MATLAB and HPC toolchains. He has a strong research pedigree—PhD in Applied Mathematics—and has led funded projects as PI, developed open-source PDE solvers within the Overture framework, and taught graduate courses on numerical Python and ML. His work spans physics-informed neural networks, numerical linear algebra, CFD/FSI and mixed physics/data modeling, bridging domain expertise from medicine to engineering. A proven collaborator and communicator, he has transitioned academic breakthroughs into production-grade libraries and commercial R&D roles at MathWorks and Synopsys. An understated strength is his blend of low-level performance engineering (MPI, Petsc/SLEPc, MFEM) with modern ML toolkits (TensorFlow, DeepXDE), enabling scalable hybrid solvers for complex multiphysics problems.
10 years of coding experience
11 years of employment as a software developer
Bachelor of Applied Science - BASc, Bachelor of Applied Science - BASc at Sichuan University
Doctor of Philosophy (PhD), Applied Mathematics, Doctor of Philosophy (PhD), Applied Mathematics at University of Delaware
English, Chinese