Summary
Achyut Panchal is an assistant professor and computational scientist with 12 years of experience developing high-fidelity, massively parallel algorithms for turbulent combustion and multiphase flows. He combines deep expertise in Fortran, C++, Python, MPI and OpenMP with hands-on code development for large-scale community simulation tools used by agencies like NASA and the DoD. His work spans novel multi-phase frameworks, reduced-order models, and machine-learning–augmented approaches to make complex reactive flows tractable and predictive. At Georgia Tech he led parallel performance optimization and large-scale LES runs on up to 20,000 processors, applying his methods to problems from diesel engines to explosive blasts and gas-turbine fuel comparisons. Now based in Cincinnati, he bridges academic research and industrially relevant simulation, bringing both rigorous modeling and pragmatic software engineering to high-performance multiphysics codes.
12 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD Aerospace Engineering, Doctor of Philosophy - PhD Aerospace Engineering at Georgia Institute of Technology
Indian Institute of Technology Bombay