  We study the impact of warm dark matter mass on the internal properties of
individual galaxies using a large suite of 1,024 state-of-the-art cosmological
hydrodynamic simulations from the DREAMS project. We take individual galaxies'
properties from the simulations, which have different cosmologies,
astrophysics, and warm dark matter masses, and train normalizing flows to learn
the posterior of the parameters. We find that our models cannot infer the value
of the warm dark matter mass, even when the values of the cosmological and
astrophysical parameters are given explicitly. This result holds for galaxies
with stellar mass larger than $2\times10^8 M_\odot/h$ at both low and high
redshifts. We calculate the mutual information and find no significant
dependence between the WDM mass and galaxy properties. On the other hand, our
models can infer the value of $\Omega_{\rm m}$ with a $\sim10\%$ accuracy from
the properties of individual galaxies while marginalizing astrophysics and warm
dark matter masses.
