Sagar Pal

Background

About Sagar Pal

I'm a computational physicist specializing in scientific machine learning and high-performance computing. Over the past 9 years, I've worked across the entire technology stack – from optimizing performance-critical code in C++ and Fortran to developing advanced ML solutions using PyTorch and JAX. While my PhD research centered on multiphase fluid dynamics and statistical physics, I've since evolved to work at the intersection of scientific ML and HPC. This unique combination of physics understanding and modern computational techniques allows me to bridge the gap between traditional scientific computing and cutting-edge machine learning approaches. I'm passionate about building high-performance scientific software that's not just fast, but also maintainable and adaptable to evolving research needs. Whether it's scaling applications across supercomputing clusters or optimizing scientific ML workflows, I focus on delivering robust solutions to complex industrial and scientific challenges.