Protein aggregation is central to biomedical sciences and food preparation; yet, understanding and predicting it remains a grand challenge due to the complexity of protein interactions. In particular, plant proteins offer a sustainable and healthy alternative for their animal counterpart to make plant-based food, but design requires understanding and predicting plant-protein gelation & breakup. We use a novel combination of experiments and AI-based modelling to efficiently investigate and model protein aggregation on relevant lengths scales. Experimental aggregation studies serve as input to learn AI-based models. Furthermore, we use direct observation of (pre-aggregated) protein microparticles to directly follow the protein aggregation in 3D and real time (see image). Your work can focus either on the experimental or on the computational side; we are happy to discuss directions and tailor the project towards your interests.
