Giacomo Fragione is a Senior Data Scientist and computational physicist with a PhD in Computational Astrophysics and five years of industry-focused experience translating large-scale simulations and scientific methods into production analytics. He has led high-impact projects—from supercomputing-driven numerical integrations and hierarchical Bayesian models in academia to delivering a $10M cost-saving digital platform and a 95% precision NLP classifier at Caterpillar. Author of over 100 peer-reviewed publications and a proven grant manager ($2M in NSF/NASA funding), he combines deep modeling expertise with hands-on software development and parallel computing optimizations. Fluent in four languages and a seasoned communicator, he has given ~80 talks across 50+ institutions and coordinated international conferences, demonstrating rare program-management chops for a technical researcher. Outside work he channels strategic thinking into activities like competitive gaming and Magic: The Gathering, reflecting the same analytical creativity he brings to complex data problems.
5 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Astrophysics, Doctor of Philosophy - PhD, Computational Astrophysics at Sapienza Università di Roma
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