معرفی
Philip Chang is an Assistant Professor in the Department of Physics at the University of Florida's College of Liberal Arts and Sciences. His research focuses on experimental particle physics, particularly the electroweak and Higgs sectors. He develops track-finding algorithms using AI for High-Luminosity LHC challenges.
Chang's work analyzes multiboson signatures and quarkonium states at the LHC, with recent publications exploring CP violation, exotic particle searches, and vector boson scattering. His group utilizes machine learning for collision data reconstruction.
Publications emphasize precision measurements of Higgs couplings, rare triboson events, and beyond-Standard-Model signatures using CMS detector data.
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