Nash Sabti
Research Engineer at Workfabric AI
Boston, Massachusetts, United States
Summary
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Senior🎓
Top SchoolNash Sabti is a research engineer combining a PhD in physics from King's College London with 8+ years of industry and academic experience applying ML, differentiable programming, and HPC to challenging simulation and data-analysis problems. After a postdoc at Johns Hopkins—where he developed JAX-accelerated gravity solvers, PyTorch pipelines to recover cosmic 21cm signals, and supervised multiple PhD students—he moved into applied research roles at Soroco and Workfabric AI building ML-driven models of digital interactions. He brings deep practical expertise in Python, PyTorch and JAX, plus a track record of shipping research software (five codes) and publishing high-impact work (18 papers, 700+ citations). Comfortable bridging theory and product, he excels at turning advanced numerical methods into production-ready tools for science and enterprise. An uncommon strength is his experience combining Bayesian pipelines, differentiable simulation, and observational astronomy datasets (HST/JWST) to probe frontier cosmology.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Physics, Master of Science - MS, Physics at Leiden UniversityDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at King's College London
Russian, Arabic, Dutch, EnglishProgramming languages (3)
Github contributions (5)
NNSSA/NNSSA.github.io
Aug 2021 - Feb 2025
Contributions:233 pushes, 3 branches in 3 years 7 months
NNSSA/GALLUMI_public
Oct 2021 - Jan 2022
Contributions:7 commits, 26 pushes, 1 comment in 2 months
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