Carlo Graziani
Computational Scientist
Greater Chicago Area United States
Summary
👤
Senior🎓
Top SchoolCarlo Graziani is a computational scientist and theoretical astrophysicist with decades of research experience who applies Bayesian statistics and Gaussian process modeling to extract faint signals from large astronomical datasets and HPC simulations. Based at Argonne and affiliated with the University of Chicago, he has driven methodological breakthroughs—from correcting long-standing MHD algorithm errors to inventing analysis techniques that enable smaller, cheaper dark-matter detectors. His work spans theory, experiment, and statistical methodology, with a track record of turning complex simulation output and detector data into actionable physical insight. An experienced communicator and mentor, he has led mission imaging pipelines for gamma-ray bursts and translated plasma physics measurements into intelligible diagnostics, demonstrating a rare blend of deep physics intuition and practical algorithmic impact.
10 years of coding experience
15 years of employment as a software developer
High School Diploma, High School Diploma at International School of MilanB.Sc., Applied Physics, B.Sc., Applied Physics at Columbia UniversityPh.D., Physics, Ph.D., Physics at University of Chicago
Italian, French
Github Skills (44)
python10
data-science10
machine-learning10
deep-learning10
tensorflow10
neural-network10
ml9
gaussian-processes9
deep-neural-networks9
stochastic-processes9
gaussian9
mozilla8
variants8
modular7
linear-algebra7
Programming languages (8)
Github contributions (5)
CarloGraziani/BayesVaccineEfficacy
Dec 2020 - Dec 2021
Contributions:18 commits, 1 PR, 15 pushes in 1 year
CarloGraziani/GP_dev
May 2023 - Sep 2023
Contributions:18 pushes, 1 branch in 4 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.