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Mohammad Arab

@mohammadarab

Senior R&D physicist combining scientific computing, Bayesian inference, and experimental systems to solve complex physics problems.

Iran

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What I'm looking for

I’m looking for an R&D role where I can combine scientific computing, Bayesian inference, and AI with experimental or accelerator physics—building validated simulations and models, and turning them into real systems and measurable impact.

I’m a computational and experimental physicist with a PhD in cosmology and 10+ years of experience in scientific programming, numerical simulations, Bayesian estimation, experimental physics, and R&D.

I build and validate physics models end-to-end—implementing two-field dark energy workflows in CAMB with Bayesian analysis using Planck data, and translating experimental requirements into engineered, testable systems.

My R&D work spans accelerator and instrumentation projects, including electromagnetic field design for linear accelerators, and mass spectrometer development for light-gas detection—where I design, simulate, assemble, and validate.

I also apply AI and statistical methods to applied physics problems, using machine learning to optimize breast cancer radiation therapy, alongside tools and practices like MCMC, CAMB/CosmoMC, and scientific programming in Python/C++/Fortran.