Summary
Javier Orduz is a computational physicist and Quantum Machine Learning researcher with over nine years of experience translating high-energy physics theory into practical ML and quantum computing applications. He has an established academic track record—PhD in High Energy Physics—and has held roles from associate professor to visiting assistant professor while leading interdisciplinary projects and securing international research funding. Javier combines hands-on coding in FORTRAN, C++, and Python with deep expertise in HEP tools (MadGraph, CalcHep, FeynRules, ROOT, LoopTools, etc.), enabling end-to-end computational studies of observables. Currently based in Richmond, Indiana, he contributes to inclusive STEM initiatives like QMexico and LatinX in AI, reflecting a commitment to mentorship and science education via ICT. Colleagues value his ability to bridge theoretical foundations and applied solutions, prioritize tasks effectively, and adapt quickly within collaborative teams.
9 years of coding experience
4 years of employment as a software developer
Doctor in sciences, High Energy Physics, Doctor, Doctor in sciences, High Energy Physics, Doctor at Benemérita Universidad Autónoma de Puebla
Bachelor's degree, Physics, Physicist, Bachelor's degree, Physics, Physicist at Universidad Pedagógica y Tecnológica de Colombia