UCC Mathematics Graduate Awarded DAAD Scholarship to Present Liver Disease Modelling Research in Germany

 

A graduate of the University of Cape Coast (UCC), Ransford Ganyo, has been awarded a travel scholarship by the German Academic Exchange Service (DAAD) to present his research at the Bonn Conference on Mathematical Life Sciences in Germany.

The conference, scheduled for 16–19 March 2026, will be hosted at the University of Bonn in Germany and will bring together researchers in mathematical biology and health sciences from around the world.

Mr. Ganyo completed his Master’s degree in Mathematics at UCC, where his thesis investigated how autoimmune hepatitis contributes to the progression of liver cirrhosis under varying levels of alcohol consumption. Using mathematical modelling techniques, the study examined how immune-mediated liver inflammation interacts with alcohol exposure to accelerate liver damage.

The research provides insight into how lifestyle factors such as alcohol consumption may worsen autoimmune-related liver conditions, offering a quantitative framework that could support medical research and public health understanding of chronic liver disease progression.

The DAAD travel scholarship will support his participation in the conference, where he will present his findings to an international audience. The award reflects growing global recognition of applied mathematical research emerging from Ghanaian institutions.

Speaking on the development, Mr. Ganyo expressed gratitude to the University of Cape Coast and his academic mentors for their support. He noted that the opportunity highlights the importance of mathematical approaches in understanding complex health challenges.

According to him, the research reflects his broader commitment to demonstrating that mathematics is not merely a collection of formulas for students to memorise, but a powerful tool for addressing real-world developmental and public health challenges. He noted that mathematical modelling can provide valuable insights into complex diseases and support evidence-based decision-making in every aspect of life.