Dr. Stephane Cooperstein

Biography

Stephane Cooperstein's research aims to understand the nature of the smallest scales in physics through high-energy proton-proton collision data from CERN’s Large Hadron Collider in Switzerland. He is particularly interested in studying the Higgs boson particle and its role in the origin of particle masses, which is central to understanding particle physics. The discovery of the Higgs boson at CERN in 2012 marked a new era in experimental physics, providing new insights into the interactions of fundamental particles. Cooperstein is a member of the CMS Collaboration at CERN, contributing to significant breakthroughs in the experimental understanding of Higgs boson properties and seeking evidence of new physics beyond the Standard Model, including supersymmetric particles and the nature of dark matter. Recent advancements in artificial intelligence and machine learning have enabled scientific discoveries previously thought to be unattainable. A notable aspect of his work involves the development of AI and ML techniques for analyzing LHC collision data, making low-latency trigger decisions, and refining event reconstruction and background estimation techniques. These methodologies are crucial for studying the interactions involving the Higgs boson and represent key experimental frontiers in particle physics, with implications for baryogenesis and the long-term stability of the universe.

Research Interests