  Using a dual representation of lattice fermion models that is based on
spin-charge transformation and fermionisation of the original description, I
derive an algorithm for diagrammatic Monte Carlo simulation of strongly
correlated systems. This scheme allows eliminating large expansion parameters,
as well as large corrections to the density matrix that generally prevent
diagrammatic methods from being efficient in this regime. As an example, I
compute the filling factor for the Hubbard model at infinite onsite repulsion
and compare the results to controllable data obtained from Numerical Linked
Cluster Expansion. I find excellent agreement between the two methods, as well
as rapid convergence of the diagrammatic series. I also report results for the
momentum distribution and kinetic energy of the electrons.
