Qusai Al Shidi is a senior modeler and physicist with 11 years of experience applying numerical methods, magnetohydrodynamics and machine learning to space and solar physics problems. Holding a PhD in Physics, he has progressed from graduate simulations of the Sun’s chromosphere to postdoctoral research modeling the magnetosphere with scikit-learn, NumPy and TensorFlow, and now brings that expertise to industry at Transamerica. His work sits at the intersection of rigorous computational physics and practical ML-driven space weather forecasting, leveraging code-first research skills honed across academia and research software development. Based in Iowa City, he combines deep domain knowledge in MHD with hands-on simulation and data-analysis experience—an unusual blend that enables both fundamental insight and deployable modeling solutions.
11 years of coding experience
8 years of employment as a software developer
Cambridge International A Level, High School/Secondary Diplomas and Certificates, Cambridge International A Level, High School/Secondary Diplomas and Certificates at Muscat International School
UMass Lowell
Bachelor of Science (B.S.), Physics, Bachelor of Science (B.S.), Physics at The University of Toledo
Contributions:24 commits, 1 PR, 12 pushes in 2 years 6 months
scientistspython
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