Summary
Giovanni Angelini is a quantitative energy trader and physicist with nine years of experience building forecasting and algorithmic trading models for power and gas markets. He holds a PhD in Nuclear Physics from The George Washington University, where he taught calculus-based courses, supervised capstone projects, and published in high-impact journals including four Nature co-authorships. Proficient in C++, Java, Python, MATLAB and Mathematica, he has developed front-office trading systems, risk models (VaR, RAROC, PFE) and automated controls while improving hedging strategies at Constellation. Giovanni combines hands-on quantitative research—Monte Carlo simulations and large unstructured data analysis—with people management, having led projects and teams of ~20. Notably, he pivoted from academic R&D to commodity markets by translating complex physics modeling techniques into practical trading and solar-AI applications. Based in Washington, DC, he blends rigorous scientific training with pragmatic production deployments across trading, risk, and ML initiatives.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Nuclear Physics, Doctor of Philosophy - PhD Nuclear Physics at The George Washington University
Master's degree Elementary Particle Physics & Nuclera Physics, Master's degree Elementary Particle Physics & Nuclera Physics at Sapienza Università di Roma
High School Degree Scientific High School, High School Degree Scientific High School at Liceo Scientifico Azzarita