Dr. Mohamed Mysara

Dr. Mohamed Mysara

Associate Professor of Biomedical Informatics, Director of Biomedical Informatics Program & Bioinformatics Professional Diploma, and Director of Computational Drug Discovery & Development Professional Diploma (C3D)

Faculty Office Ext.

1782

Faculty Building

Tarek Khalil Building

Office Number

213

Biography

Dr. Mohamed Mysara is an Associate Professor of Biomedical Informatics at the School of Information Technology and Computer Science, Nile University, Egypt. He directs the Biomedical Informatics undergraduate program, the Bioinformatics Professional Diploma, and the Computational Drug Discovery & Development Professional Diploma (C3D), and heads the Bioinformatics Research Group — Egypt's first bioinformatics research group. 

He holds a B.Sc. in Pharmaceutical Sciences from Cairo University, an M.Sc. in Information Technology from the University of Nottingham (Best Dissertation Award), and a joint Ph.D. from KU Leuven and Vrije Universiteit Brussel under Prof. Jeroen Raes, focused on computational tools for metagenomics. He then held postdoctoral and senior scientist positions at the University of Antwerp and the Belgian Nuclear Research Centre (SCK CEN), returning to Egypt in 2022 to join Nile University while retaining both affiliations. 

His research bridges computational method development with the human microbiome, complex diseases, and radiation biology. He developed widely used tools including OCToPUS, CATCh, and metaGEEnome, and built meta-analysis frameworks that have uncovered disease-associated microbial signatures in Parkinson's, breast, cervical, and colorectal cancer, published in journals such as npj Parkinson's Disease, npj Biofilms and Microbiomes, and Human Genomics. He also co-led AI and bioinformatics workflows for large European cohorts including MEDIRAD and ANTICIPATE. 

His Bioinformatics Research Group works across three tracks: Algorithmic Development (tools for metagenomics, siRNA design, and diagnostics), Biological Data Analysis (multi-omics and microbiome biomarker discovery), and Computational Molecular Design (AI-driven modeling for therapeutics) — together advancing mechanistic, reproducible biomedical research. 

In recognition of his contributions, Dr. Mysara received the Egyptian State Encouragement Award in Advanced Technological Sciences Serving Medical Fields (2024), honoring distinguished scientific achievement and service to Egypt's scientific community.

Qualifications

  • Ph.D. in Bio-Engineering Sciences & Biomedical Sciences — Vrije Universiteit Brussel (VUB) & KU Leuven, Belgium
  • M.Sc. in Information Technology (Best Dissertation Award) — University of Nottingham, UK
  • Postgraduate Diploma in Clinical Pharmacology — Ain Shams University, Egypt
  • B.Sc. in Pharmaceutical Sciences — Cairo University, Egypt
Activities

Teaching

Dr. Mysara teaches and coordinates undergraduate and postgraduate courses in bioinformatics, biomedical data analysis, and systems biology. His teaching integrates theoretical foundations, hands-on computational practice, and real-world biological and clinical datasets.

Teaching Philosophy:

Emphasis on statistical rigor, computational thinking, biological interpretation, reproducible research, and critical evaluation of methods.

Undergraduate Teaching:

  • Applied Bioinformatics
  • Biomedical Statistics

Postgraduate Teaching:

  • Statistical Analysis and Data Visualization
  • Integrative Bioinformatics and Systems Biology
  • Metagenomics

Professional Service

  • Director — Biomedical Informatics Program, Nile University
  • Director — Bioinformatics Professional Diploma
  • Director — Computational Drug Discovery & Development Professional Diploma (C3D)
  • Head — Bioinformatics Research Group
  • Reviewer for international journals and funding agencies
  • Mentor to undergraduate and postgraduate students
Research Tracks

Algorithmic Development  

  • Designs and optimizes computational algorithms and pipelines for processing metagenomic data, addressing challenges like inter-study heterogeneity and compositional bias. 

  • Builds predictive design tools and automated platforms for diagnostics and vaccine development, translating models into field-ready solutions. 

  • Benchmarks assembly, clustering, denoising, and binning methods to identify performance gaps and guide next-generation tool development. 

Biological Data Analysis  

  • Conducts integrative multi-omics analysis and microbiome meta-analyses across multifactorial diseases to uncover reproducible disease signatures. 

  • Characterizes disease mechanisms through biomarker discovery and pathway analysis, moving beyond correlation toward testable hypotheses. 

  • Applies spatial and single-cell multi-omics to resolve tissue-level cellular heterogeneity and uncover patterns missed by bulk analysis. 

Computational Molecular Design  

  • Uses AI-driven modeling and molecular simulation to accelerate biomolecule and therapeutic design ahead of experimental validation. 

  • Applies virtual screening and drug repurposing, using automated agent-based workflows to identify new therapeutic candidates at scale. 

  • Develops structure-based discovery methods and predictive target-binding frameworks to guide compound selection.