Reza Asl is a computational scientist with a PhD in Computational Mechanics and six years of experience building simulation, optimization, and scientific machine learning solutions for industry and academia. He develops production-ready simulation software and open-source tools—most notably Folax (Finite Operator Learning with JAX)—that blend PINNs, neural operators, and classical FEM/FVM to solve and optimize PDE-driven problems. At Thermo Fisher he applies AI and simulation for condition monitoring and predictive maintenance of HPLC systems, while his prior work at TUM delivered open-source optimization tools and contributed to a major DFG grant on additive manufacturing. Comfortable supervising teams and aligning milestones with industrial partners (BMW, VW), he bridges rigorous research with pragmatic software engineering and deployment. Colocated in Munich, he uniquely pairs deep mechanics expertise with hands-on ML toolbuilding that accelerates physics-based modeling workflows.
6 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Mechanics, Doctor of Philosophy - PhD, Computational Mechanics at Technical University of Munich
Bachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at University of Tehran
Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.
Contributions:13 pushes in 20 days
pythonkratosmpibsd-licensemodularity
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