Ahmed Attia is a computational mathematician with eight years of experience tackling large-scale inverse problems and uncertainty quantification at Argonne National Laboratory, where he progressed from intern to assistant computational mathematician and now computational mathematician. He holds a Ph.D. in Computer Science from Virginia Tech and specializes in mathematical modeling, advanced sampling (MCMC), adjoint-based optimization, and scalable goal-oriented experimental design. Ahmed blends research rigor with practical software skills in Python and PHP to deliver production-ready tools for data assimilation and energy-related optimization. Based in Lemont, Illinois, he has a track record of organizing multidisciplinary workshops and building extensible testing suites, signaling both technical depth and community-oriented collaboration. An often-overlooked strength is his sustained focus on non-Gaussian, large-scale problems that bridge applied mathematics and high-performance computational workflows.
8 years of coding experience
2 years of employment as a software developer
Master's degree, Mathematics and Computer Science, Master's degree, Mathematics and Computer Science at Mansoura University
Contributions:2 PRs, 16 pushes, 1 branch in 3 months
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