Our lab uses genetically modified mouse models and a combination of cell biology, molecular biology, and biochemistry techniques to study the role of altered mitochondrial dysfunction and metabolism in human diseases. A primary analytical tool of the group is metabolomics, which enables the parallel quantification of hundreds of small molecule metabolites. The team also uses computational approaches to integrate datasets from multi-dimensional analyses, including metabolomics, proteomics, and transcriptomics, with the aim to model aging-related disorders and to generate mechanistic hypotheses that will be cross validated experimentally.
Lloyd Mabonga
Postdoctoral Research Scientist, University of Pretoria, Pan African Cancer Research Institute (PACRI)
With a solid foundation in molecular biology and bioinformatics, I am keen to integrate laboratory skills with advanced data analysis techniques. My primary interests lie in genomics and proteomics, and I have expertise in molecular docking, molecular dynamics simulation, toxicology analysis, and ADMET analysis. My career goal is to bridge the gap between experimental research and data analysis, contributing to the advancement of scientific research.
I am Aberham Abere Alemayehu, I have MSc degree in medical parasitology and currently I am working as a lecturer and researcher on infection diseases at University of Gondar, Ethiopia.
Associate Dean for Flexible and Digital Education, Faculty of Biology Medicine and Health Sciences
Aleksa Savić
Graduate Researcher / 1st year PhD student, Innovative Centre of the Faculty of Chemistry in Belgrade, ltd.