Chun Shen

Chun Shen

Associate Professor


Physics and Astronomy, Room 341

Curriculum vitae




Physics and Astronomy

Chun Shen

Research interest(s)/area of expertise

  • 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
  • Multi-scale imaging of proton and nucleus at high energy


I am interested in understanding strongly interacting many-body systems, in particular, the properties of nuclear matter under extreme hot and dense conditions.

The relativistic heavy-ion collisions create a novel state of matter, Quark-Gluon Plasma (QGP), which exposes surprisingly strong collective behavior with very small specific shear viscosity. In order to quantitative extract the transport properties of the QGP, I work on developing a comprehensive integrated framework, which models the dynamical evolution of the heavy-ion collisions event-by-event. Combining this framework with modern statistical Bayesian analysis, we can reverse engineer the heavy-ion collision experiments and infer the properties of the hottest droplet in nature.


  • Ph.D., The Ohio State University, Columbus, Ohio, USA, 2014
  • B.Sc., Shanghai Jiao Tong University, Shanghai, China, 2009

Awards and grants

  • NSF PHY Grant (PI, 2020-2021), "Quantitative Characterization of Quark-Gluon Plasma Properties with Dynamical Fluctuations"
  • NSF CSSI Grant (Co-PI, 2020-2024), "Frameworks: X-Ion Collisions with a Statistically and Computationally Advanced Program Envelope (X-SCAPE)"
  • RIKEN-BNL Rearch Center (RBRC) Fellow, 2018-2023
  • IUPAP Young Scientist Prize in Nuclear Physics 2019
  • Goldhaber Fellow Brookhaven National Lab 2016
  • APS Dissertation Award in Nuclear Physics 2016
  • DOE Early Career Award (2021 - 2026), "Quantitative Characterization of Quark-Gluon Plasma Properties with Dynamical Fluctuations and small systems"

Selected publications

All my papers can be accessed on the INSPIRE or Google Scholar.

Citation index

Courses taught by Chun Shen

Winter Term 2024

Fall Term 2023

Fall Term 2022