Summary
Omar Ashour is a postdoctoral researcher in Berkeley working at the nexus of deep learning, non-equilibrium statistical mechanics, and mathematical physics, with 11 years of experience spanning condensed matter, quantum computing, materials science, and mathematical physics. Trained as a theoretical physicist with a PhD from UC Berkeley, he builds computational and theoretical tools—from DFT and GW-BSE to bespoke open-source packages like DarkMAGIC and Quesadilla—to tackle problems ranging from dark-matter detection with quantum materials to generative models of amorphous matter. His work uniquely blends information geometry and thermodynamic computing to probe far-from-equilibrium systems, while also contributing algorithmic innovations for variational quantum algorithms and large-scale numerical experiments. Based in Berkeley, he combines rigorous mathematical insight with practical HPC and software development, often turning abstract theory into reproducible code and surprising experimental proposals.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Theoretical and Computational Physics, Doctor of Philosophy - PhD Theoretical and Computational Physics at University of California, Berkeley
Bachelor of Science - BS Electrical Engineering, Bachelor of Science - BS Electrical Engineering at Texas A&M University
English, Arabic, Spanish, French, German