Ehsan Haghighat

AI Scientist at UniversalAGI

San Francisco, California, United States
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Summary

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Senior
🎓
Top School
Ehsan Haghighat is an AI Scientist and computational engineer with eight years of experience developing deep learning and scientific computing solutions for complex physical systems. He combines a strong academic foundation (PhD) and postdoctoral research at MIT and UBC with industry leadership roles—most recently heading ML and simulation teams and now at UniversalAGI—bridging numerical methods, SciML, and uncertainty quantification. His technical toolkit spans Python, TensorFlow/PyTorch, C++, HPC/OpenMPI and cloud platforms, applied to PDE/ODE solvers, geomechanics and metamaterials simulation. Ehsan has repeatedly translated research into production: building cloud-distributed stochastic modeling frameworks, accelerating 3D simulation with ML, and leading assembly/motion planning model development. He publishes on ML for engineering infrastructure (Google Scholar) and brings a rare blend of hands-on solver development, data-driven modeling, and operational deployment. Based in Vancouver, he pairs deep mechanics instincts with practical engineering to tame uncertainty in large-scale physical systems.
code8 years of coding experience
job9 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.), Engineering, Doctor of Philosophy (Ph.D.), Engineering at McMaster University
bookMaster's Degree, Engineering, Master's Degree, Engineering at Sharif University of Technology
languagesEnglish
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Github Skills (33)

mesh10
python10
mathematics10
siggraph10
nvidia10
spider10
vtk10
pypi10
simulation9
pytorch9
machine-learning9
topology9
deep-learning9
differentiable-programming8
cuda8

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

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A place to share problems solved with SciANN
Contributions:32 commits, 29 PRs, 8 pushes in 2 years 10 months
placepythonsolved-problemsproblemssolved
Contributions:24 commits, 35 pushes in 1 year 8 months
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