Self-assembly is a key feature of living cells, which organize their basic components into complex machines based on their mutual interactions. Most of the time, it brings well-adjusted parts together into functional structures such as the ribosome or viral capsids. In other cases however, objects that are not optimized by evolution to fit nicely self-assemble nonetheless, leading, e.g., to protein-aggregation diseases. While functional self-assembly has attracted increasing attention due to rapid progress in nanofabrication, the basic physical principles underpinning the assembly of ill-fitting objects remain largely unknown. The conceptual advance at the heart of our project is that ill-fitting particles self- assemble into low-dimensional aggregate morphologies not easily achieved with well-adjusted particles (see figure on the left and reference [1]). We term this effect dimensional reduction. During this Master internship we propose to investigate this dimensional reduction by self-assembly experiments using irregular colloids printed in 3D with submicron-resolution. We will base our investigations on Brownian dynamics simulations held in Martin Lenz groups at LPTMS (Orsay) to help sort through the huge diversity of potential particle shapes accessible through 3D-printing.