Maxwell Cai is a deep learning research engineer and high-performance computing specialist with over a decade of R&D experience bridging computational astrophysics and AI for science. He develops and optimizes large-scale AI4Science and HPC workloads on modern accelerators at NVIDIA, after leading similar efforts at Intel and national supercomputing centers. With a PhD in astronomy, Maxwell brings a hybrid research-engineering mindset—building CUDA/MPI/OpenMP-accelerated simulation codes and neural models that respect physical priors and scale across supercomputers. He also teaches parallel ML and AI/HPC applications in physical sciences as an Affiliated Lecturer at Cambridge, translating industrial practice into curriculum. Notably, his open-source GPU integrator work for orbital dynamics demonstrates both domain depth and production-grade performance tuning.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Astronomy and Astrophysics, Doctor of Philosophy (PhD), Astronomy and Astrophysics at University of Chinese Academy of Sciences
Contributions:10 commits, 9 pushes, 1 branch in 2 years 6 months
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