Summary
Mark Cianciosa is a physicist and software-focused researcher with nine years of experience developing high-performance computational tools for 3D plasma equilibrium reconstruction. Based at Oak Ridge National Laboratory, he is the primary developer of V3FIT and has modernized legacy FORTRAN codebases, adding MPI/OpenMP parallelism, task/data-parallel merging, and HPC-friendly workflows that enabled first-ever reconstructions of helical core and island equilibria. He has a track record of practical algorithmic innovation—creating an SVD-based lossy compression that cut memory requirements by 90% while preserving accuracy and building the BMW code to extend divergence-free magnetic fields beyond the last closed flux surface. Comfortable spanning physics, software engineering, and ML, he has produced neural-network reduced models for real-time spectral diagnostics and integrated components into the IPS Python framework. His work blends deep domain expertise in fusion experiments with modern software practices, including CMake, unit testing, and cross-language tooling, making complex reconstructions reproducible and scalable on HPC systems.
9 years of coding experience
12 years of employment as a software developer
Bachelor’s Degree, Physics, Bachelor’s Degree, Physics at State University of New York College at Potsdam
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at Auburn University