  We formulate and solve data-driven aerodynamic shape design problems with
distributionally robust optimization (DRO) approaches. Building on the findings
of the work \cite{gotoh2018robust}, we study the connections between a class of
DRO and the Taguchi method in the context of robust design optimization. Our
preliminary computational experiments on aerodynamic shape optimization in
transonic turbulent flow show promising design results.
