Summary
Julia Hinds is a data scientist at E. & J. Gallo Winery with nine years of quantitative research and engineering experience, recently completing a PhD in Physics at Michigan State University where she worked with the ATLAS Collaboration at CERN. She specializes in extracting actionable insights from large, high-dimensional datasets, building scalable analysis pipelines, and developing statistical models using Python, C++, and ROOT. Her PhD work improved signal significance in complex particle-physics searches and provided Monte Carlo corrections used across ATLAS analyses, demonstrating rigorous statistical and experimental skills. Julia pairs deep domain expertise in experimental physics with practical experience in production analytics, experimentation, and visualization to inform strategic decisions. She has a track record of collaboration across large international teams, publications in peer-reviewed journals, and translating niche scientific methods into business-facing data solutions. Outside core analytics, she brings a rare mix of hands-on detector/experimental knowledge and teaching experience, having earned MSU’s Educator Award while mentoring instructional teams.
9 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree, Physics, Bachelor’s Degree, Physics at Appalachian State University
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Michigan State University