Hybrid modelling of wet granulation toward sustainable process development
Using data-driven mechanistic insight to transform pharmaceutical and waste-to-resource processes into scalable, sustainable solutions.
Research Projects
Our lab conducts cutting-edge research projects that push the boundaries of knowledge and create real-world impact. Each project combines rigorous scientific methods with innovative computational approaches.
Machine-learning-assisted population balance modelling for pharmaceutical crystallisation process design
Advancing mechanistic models that can design pharmaceutical crystallisation processes by integrating them with machine learning tools.