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Dr. Mohamed Mysara

Assistant Professor

Faculty Office Ext.


Faculty Building

UB 1

Office Number



After acquiring his B.Sc. in Pharmaceutical Sciences from Cairo university, Mohamed pursued a career in bioinformatics. He obtained an M.Sc. degree in Information Technology from the University of Nottingham, acquiring the best dissertation award prize. Shortly afterwards, he worked as a junior researcher at the Egyptian National Research Centre (NRC) and Nile University (NU), covering various aspects of genomics, transcriptomics and proteomics. Consequently, he was accepted as a Ph.D. student jointly between KU Leuven (KUL) and Vrije Universiteit Brussel (VUB), with Prof. J. Raes a lead scientist in the metagenomics field. Mohamed obtained his Ph.D. degree in Bio-Engineering Sciences (VUB) and Biomedical Sciences (KUL) in Sep. 2016, focusing on the development and application of bioinformatics tools for metagenomics data.

After obtaining his Ph.D., he was hired as a postdoc in the Lab of Medical Microbiology (LMM, UA) which has a world reputation for studying antibiotic use and resistance, as well as for the development of rapid diagnostic solutions lead by Prof. Herman Goossens. Mohamed has joined the Belgian Nuclear Research Centre (SCK CEN) interdisciplinary bioscience group as a senior scientist and research project leader (from Oct 2017). Since Sep 2022, he has returned to Egypt and joined the ITCS school at Nile University as an assistant professor and the vice director of biomedical informatics. 

  1. Best dissertation award from the University of Nottingham, 2010, UK.
  2. Awarded post-doc FWO scholarship 2017, Belgium.
  3. Awarded AWM in 2018 to fund his Ph.D. project, in Belgium.
  4. Awarded AWM in 2021 to fund his Ph.D. project, in Belgium.
  5. Awarded AWM in 2021 to fund his Ph.D. project, in Belgium
Recent Publications

Impact of alignment algorithms on 16S metagenomics analysis

The development of high-throughput sequencing technologies has provided microbial ecologists with an efficient approach to assess bacterial diversity at an unseen depth. In the last year, various platforms have been used for such analysis particularly the Illumina MiSeq, 454 pyrosequencing GS FLX+ and PacBio sequencing platforms. However, analysing such high-throughput data is posing important

Research Tracks
  • Bioinformatics
  • Microbiome
  • Metagenomics
  • Genomics
  • Integormics Data Analytics and Algorithmic Developments