My research is about prediction and learning of evolutionary pathways related to Antimicrobial Resistance. In doing so, I work with statistical models, but also try to understand the problems from the perspective of pure maths (algebra, geometry, topology). 

My work is part of the HyperEvol Project at the CAMRIA Centre whose goal is to use inter- and trans-disciplinary approaches to address the challenges in antimicrobial resistance research.

More detailed information about my work and my activities can be found on my webpage.

Academic article

• Jessica Renz; Kazeem Adesina Dauda; Olav Nicolay Larsson Aga et al. (2025). Evolutionary accumulation modeling in AMR: machine learning to infer and predict evolutionary dynamics of multi-drug resistance. (external link)
• Belen Garcia Pascual; Lars Moberg Salbu; Jessica Renz et al. (2024). Comparing Structure and Dynamics of Transition Graphs by the Symmetric Difference Metric Over an Edge-Filtration. (external link)

See a complete overview of publications in Cristin.