Summary
Hongwei Chen is a software engineer with 11 years of experience specializing in high-performance computing, GPU programming, and low-level optimization for physics and ML workloads. He holds a PhD in condensed matter physics and has first-authored a NeurIPS paper and five publications on machine learning for quantum physics, reflecting a strong research-to-production pathway. His hands-on expertise spans CUDA, CUTLASS, mixed-precision linear algebra, MPI/OpenMP, SIMD and deployment of ML/DL models on GPUs and x86, applied across academia (Northeastern, Stanford) and industry (Rivian, now Microsoft on DeepSpeed). Notably, he has optimized kernel fusion and large-scale simulations for quantum many-body systems, combining algorithmic innovation with systems-level performance tuning. Based in San Jose, he bridges cutting-edge research and production engineering to accelerate scientific and ML workloads at scale.
11 years of coding experience
5 years of employment as a software developer
Research Assistant Applied Mathematics, Research Assistant Applied Mathematics at University of Alberta
Bachelor's degree Applied physics, Bachelor's degree Applied physics at Chongqing University
Doctor of Philosophy - PhD Condensed matter physics, Doctor of Philosophy - PhD Condensed matter physics at Northeastern University