Irakli Chakaberia is a computational research scientist with over a decade of experience applying data-intensive computing and AI techniques to high-energy and nuclear physics experiments. He has led detector commissioning and developed web-based monitoring tools for CMS, later focusing on tracking detector analysis at Brookhaven’s STAR experiment to extract physics from petabyte-scale collision data. Comfortable bridging hardware, software, and data analysis, he routinely turns low-level detector readouts into higher-level insights and novel analysis techniques. His background spans hands-on commissioning at Fermilab and CMS to leading research roles at national labs and universities, combining a PhD in high-energy physics with practical production-grade tooling. Colleagues know him for probing “data about the data” — improving measurement pipelines as a path to new physics discoveries.
10 years of coding experience
12 years of employment as a software developer
PhD, Physics, High Energy, PhD, Physics, High Energy at Kansas State University
Master of Science (M.S.), Physics, Solid State, Master of Science (M.S.), Physics, Solid State at Tbilisi State University
T.Gegelia’s Physico-Mathematical School of Tbilisi State University
Contributions:1 push, 1 branch in 2 years 7 months
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Irakli Chakaberia - Computational Research Scientist