Liv Helen Vage

Liv Helen Vage works in particle physics, an area of physics that studies the fundamental building blocks of matter and their interactions, often using large-scale experiments like those at CERN. Recent work touches on computational methods, including graph neural networks (a type of machine learning model) applied to particle tracking, which is the process of reconstructing the paths of particles produced in high-energy collisions. This suggests an interest at the intersection of experimental particle physics and computational/data-analysis techniques.

Publication output was minimal or absent before 2022 but has grown sharply since then, peaking in 2024, indicating a strong recent increase in research activity rather than a steady long-term pattern.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026