XR Trading
Joseph Aulicino is a quantitative trader at XR Trading since April 2023, focusing on algorithm development for interest rate derivatives. Previously, Joseph worked as a quantum computing researcher at Pacific Northwest National Laboratory, tackling eigenvalue problems on Noisy Intermediate Scale Quantum Devices using the Imaginary Time Evolution strategy. At the Pritzker School of Molecular Engineering, Joseph engineered machine learning models for protein analysis and optimization, utilizing Python and various libraries. Additional experience includes internships in research and development at NanoGraf Corporation, support specialist roles at Hagerty, and earlier positions in production and service. Joseph holds a Bachelor of Science in Molecular Engineering and Mathematics from the University of Chicago.