Postdoctoral Researcher at Technical University of Munich
Munich, Bavaria, Germany
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Summary
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Nicole Hartman is a postdoctoral researcher based in Munich with nine years of experience applying machine learning and statistical methods to high-energy physics analyses, primarily within the ATLAS experiment at CERN. She develops and deploys advanced ML solutions—from attention mechanisms and deep sets to neural spline flows—for di-Higgs searches, b-jet identification, and robust data-driven background modeling, optimizing analyses that reduced backgrounds by over 70%. At the Technical University of Munich she consults across physics and ML projects in the Origins Data Science Lab, bridging academic collaboration and production-scale C++ validation across trillion-event datasets. Nicole’s work combines rigor in statistical hypothesis testing with practical engineering to run models in experiment software, and she’s one of the lead editors who coordinated 400+ pages of collaboration documentation—evidence of strong technical communication and project stewardship.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS, Elementary Particle Physics, Bachelor of Science - BS, Elementary Particle Physics at Southern Methodist University
Doctor of Philosophy - PhD, Elementary Particle Physics, Doctor of Philosophy - PhD, Elementary Particle Physics at Stanford University
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