  A newly developed sensitivity-driven approach is employed to study the role
of energetic particles in suppressing turbulence-inducing micro-instabilities
for a set of realistic JET-like cases with NBI deuterium and ICRH $^3$He fast
ions. First, the efficiency of the sensitivity-driven approach is showcased for
scans in a $21$-dimensional parameter space, for which only $250$ simulations
are necessary. The same scan performed with traditional Cartesian grids with
only two points in each of the $21$ dimensions would require $2^{21} =
2,097,152$ simulations. Then, a $14$-dimensional parameter subspace is
considered, using the sensitivity-driven approach to find an approximation of
the parameter-to-growth rate map averaged over nine bi-normal wave-numbers,
indicating pathways towards turbulence suppression. The respective turbulent
fluxes, obtained via nonlinear simulations for the optimized set of parameters,
are reduced by more than two order of magnitude compared to the reference
results.
