معرفی
Chun Shen is an Associate Professor in the Department of Physics and Astronomy at Wayne State University's College of Liberal Arts and Sciences. His research focuses on understanding strongly interacting many-body systems, particularly the properties of nuclear matter under extreme hot and dense conditions created in relativistic heavy-ion collisions.
Dr. Shen's research interests include precision fluid dynamical modelling of quark-gluon plasma at finite baryon density, electromagnetic tomography in strongly-coupled systems, rapid thermalization and out-of-equilibrium physics of many-body QCD, and multi-scale imaging of proton and nucleus at high energy. He develops comprehensive integrated frameworks to model the dynamical evolution of heavy-ion collisions event-by-event, combining these with modern statistical Bayesian analysis to extract quantitative transport properties of the Quark-Gluon Plasma.
His 15 most recent publications (2025) demonstrate a strong focus on Bayesian analysis techniques applied to heavy-ion collision data, hydrodynamic modeling of quark-gluon plasma, jet physics in nuclear environments, and nuclear structure imaging. These works span from theoretical developments to experimental data analysis, with particular emphasis on uncertainty quantification and model selection.
Notable Awards and Recognition:
- DOE Early Career Award (2021-2026) for "Quantitative Characterization of Quark-Gluon Plasma Properties"
- DOE AI/ML Grant as Co-PI (2024-2026) for "New approaches to Bayesian uncertainty quantification"
- IUPAP Young Scientist Prize in Nuclear Physics (2019)
- Goldhaber Fellow at Brookhaven National Lab (2016)
- APS Dissertation Award in Nuclear Physics (2016)
Dr. Shen has secured significant research funding including multiple NSF and DOE grants. He teaches graduate and undergraduate physics courses including Thermodynamics and Statistical Physics, University Physics for Scientists, and University Physics for Engineers. His work connects theoretical nuclear physics with advanced computational methods and experimental data from major facilities like RHIC and LHC.
