Anubhab Haldar is a PhD-trained computational materials scientist and senior scientist with 11 years of experience building GPU-accelerated machine learning and numerical computing frameworks for electronic structure and high-performance computing. He combines deep domain expertise in electronic structure with hands-on software engineering—shipping sciml and JAX-based tools that speed materials R&D and production workflows. His background spans academic research at Boston University to industry roles at Samsung Semiconductor and Alsym Energy, giving him a track record of turning cutting-edge algorithms into deployable code. Comfortable across simulation, optimization, and data-driven modeling, he is passionate about making computational science faster and more accessible, and often bridges physics-first insight with modern ML tooling.
11 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at University of Massachusetts Amherst
ISC, ISC at St. Xavier's Collegiate School
Doctor of Philosophy - PhD, Computational Materials Science, Doctor of Philosophy - PhD, Computational Materials Science at Boston University
Contributions:18 pushes, 1 branch in 4 years 3 months
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