Research

Methods and Case Studies in Structural Biology

My group researches new methods to interpret experimental data in protein biochemistry using machine learning. Our software is distributed as part of Europe’s foremost structural biology packages. We link cryo-electron microscopy and crystallography with other measurement and computational methods, such as AI-based fold prediction in order to obtain a better insight into the biological functions and dynamic structures of proteins.