  Jet Flavor Tomography is a powerful tool used to probe the properties of
Quark Gluon Plasma formed in heavy ion collisions at RHIC and LHC. A new Monte
Carlo model of jet quenching developed at Columbia University, CUJET, was
applied to predict the jet flavor and centrality dependence of the nuclear
modification factor $R_{AA}$. The predictions for fragments $f=\pi,D,B,e$,
derived from quenched jet flavors $a=g,u,c,b$ in central and peripheral
collisions at RHIC and LHC, exhibit novel features such as a level crossing
pattern in $R_{AA\rightarrow a\rightarrow f}$ over a broad transverse momentum
range which can test jet-medium dynamics in quark gluon plasmas and help
discriminate between current energy loss models. Furthermore, the inclusion of
running coupling effects seems to change the jet energy dependence of the jet
energy loss to a non trivial constant behavior, with a visible impact on the
predictions for $R_{AA}$.
