Ming Du
Computational Scientist
Lemont, Illinois, United States
Summary
👤
Senior🎓
Top SchoolMing Du is an Assistant Computational Scientist with nine years of experience building scalable AI, optimization, and HPC systems for real-world X-ray imaging and autonomous experimentation. Based at Argonne National Laboratory, he combines deep learning, Bayesian methods, and large-scale computing to deliver production-grade tools—from GPU-accelerated ptychography reconstruction libraries (Pty-Chi) to MPI/PyTorch DDP training on >100 GPUs and 30M-sample crystallography models. His background spans industry-grade defect-detection and image-formation algorithms at KLA to pioneering 10^13-voxel tomographic reconstructions and distributed wavefield propagation during his PhD and postdoc. Notably, he bridges research and production by deploying on-prem MLOps/DevOps and leading selective HPC proposals, reflecting a rare blend of experimental beamline experience and systems engineering.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Materials Science, Doctor of Philosophy - PhD Materials Science at Northwestern UniversityBachelor of Engineering Materials Science and Engineering, Bachelor of Engineering Materials Science and Engineering at National University of Singapore
Github Skills (52)
tomography10
toolbox10
automatic-differentiation10
derivative10
backpropagation10
image-processing9
simulation9
network-tools9
image-reconstruction9
imaging9
python9
differentiation9
numpy-arrays9
mosaic9
hpc-applications8
Programming languages (6)
Github contributions (5)
mdw771/adorym_dev
Oct 2019 - Mar 2021
Contributions:360 pushes, 13 branches in 1 year 5 months
mdw771/xecat
Jun 2016 - Dec 2020
Contributions:17 commits, 1 PR, 14 pushes in 4 years 6 months
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