معرفی
Hannah Bossi is a Postdoctoral Researcher affiliated with the Massachusetts Institute of Technology and Brookhaven National Lab. Her research focuses on experimental nuclear physics, particularly investigating the Quark-Gluon Plasma (QGP) and jet energy loss using machine learning techniques. She holds a Ph.D. from Yale University (2023), advised by John Harris, where her dissertation explored novel applications of machine learning for differential jet quenching measurements at the LHC.
Her work examines how jets—high-energy particle clusters—interact with the QGP medium formed in heavy-ion collisions, revealing insights into fundamental QCD dynamics. She has contributed to the ALICE detector project at CERN, advancing low-transverse-momentum jet measurements.
- Awards: NSF Graduate Research Fellowship (2020-21)
Her research bridges experimental high-energy physics with computational methods, aiming to decode the properties of extreme matter states.
