Key details
Dr Mohamed Samir
Lecture in Bioinformatics
Dr Mohamed Samir earned his bachelor’s and master’s degrees from the Faculty of Veterinary Medicine at Zagazig University in Egypt. In 2016, he was awarded a PhD from the University of Veterinary Medicine in Hannover, Germany, through the prestigious German Academic Exchange Service (DAAD) award. It was during his doctoral studies that Dr Samir developed a deep passion for bioinformatics and its applications in the biomedical field. Through postdoctoral positions in Germany (2018) and the UK (2022), Dr Samir further honed his bioinformatics expertise and expanded his research to include the application of machine learning models to large-scale biological datasets.
Dr Mohamed’s research is currently focused on leveraging bioinformatics and building machine learning models to gain deeper insights into bacterial antimicrobial resistance (AMR) phenomena, which is one of the most pressing global challenges we face this century. Specifically, he aims to uncover patterns in AMR evolution, cross-species spread of resistant bacteria and dissect the influence of the human microbiome on AMR development.
With a career grounded in biomedical field and bioinformatics, and collaboration with other researchers, Dr Mohamed’s work has contributed to the better understanding of genetic diversity and population structure of major zoonotic bacteria across multiple hosts as well as predicting genomic drivers for cross-antibiotic resistance. This paves the way for data-driven solutions that can enhance disease control and prevention in the fight against AMR.
In addition to his main research, Dr Mohamed utilizes his proficiency in programming languages and the usage of high-performance supercomputing resources at the University of Greenwich to provide support for other biomedical scientists.
Dr Samir joined the University of Greenwich in September 2024 as a Lecturer in Bioinformatics, where he continues his teaching and translational research in bioinformatics and big data science.