Raghav Elayavalli is a Postdoctoral Research Associate with 12 years of experience specializing in high-energy heavy-ion physics, Monte Carlo/statistical modeling, and large-scale data analysis. He earned a PhD from Rutgers University and has driven impactful experimental work at CMS and CERN, including the first unbiased measurement of particle energy loss at the LHC and key contributions to the JEWEL heavy-ion Monte Carlo. Raghav builds practical software for real-time data quality monitoring and developed data-driven methods that can reduce data-taking and storage needs by roughly 50%, reflecting a focus on efficiency as well as physics insight. He is enthusiastic about applying deep convolutional neural networks to classification and multidimensional regression problems in particle physics, bridging modern ML with domain-specific simulation and analysis tools. Based in Detroit, he combines hands-on code and published software releases with mentorship experience and a track record of reproducible, high-impact results.
12 years of coding experience
4 years of employment as a software developer
Bachelor of Arts (B.A.), Physics, Bachelor of Arts (B.A.), Physics at Cornell College
Master of Arts (M.A.), Nuclear Physics, Master of Arts (M.A.), Nuclear Physics at SUNY Stony Brook
Master of Arts - MA, Nuclear Physics, Master of Arts - MA, Nuclear Physics at Stony Brook University
Doctor of Philosophy (PhD), Heavy ion physics, Doctor of Philosophy (PhD), Heavy ion physics at Rutgers University
Contributions:285 commits, 121 pushes in 1 year 9 months
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