Summary
Arindam Saha is a researcher and senior research data scientist with nine years of experience coupling large-scale, computationally intensive models with emulators and automating ensemble workflows for HPC platforms like ARCHER2 and Eagle. He specializes in sensitivity analysis and VVUQ, bringing together expertise in time-varying complex networks, multi-scale modeling, and emergent phenomena to make complex simulations more tractable and trustworthy. His work includes building automation tooling (e.g., FabSim3) to streamline large-scale job submission and reproducible experimentation across research infrastructures. With a PhD in Theoretical and Mathematical Physics and a track record across UK and US institutions, he blends deep theoretical insight with practical engineering to accelerate scientific computing. An instructor for The Carpentries and current researcher at the NHS, he uniquely bridges training, tooling, and domain research to scale computational science in real-world settings.
9 years of coding experience
4 years of employment as a software developer
Integrated B.S.-M.S., Physics, Integrated B.S.-M.S., Physics at Indian Institute of Science Education and Research, Kolkata
Doctor of Philosophy - PhD, Theoretical and Mathematical Physics, Summa cum Laude, Doctor of Philosophy - PhD, Theoretical and Mathematical Physics, Summa cum Laude at Carl von Ossietzky University of Oldenburg
English, Hindi, Bengali, German, Sanskrit