Mr. Moaaz Mohammed Saadaldin Yousif
Bioinformatics Research Assistant - Immunology Unit
Position
Bioinformatics Research Assistant - Immunology Unit
Biography
Biography: Mr. Moaaz Mohammed Saadaldin Yousif is a passionate bioinformatics researcher currently pursuing his Master’s degree in Bioinformatics at the National University Biomedical Research Institute (NUBRI). He holds a B.Sc. in Biotechnology from Omdurman Islamic University and has developed solid expertise in immunoinformatics, transcriptomics, and computational biology. His primary research interest centers on epitope-based vaccine design using reverse vaccinology and immunoinformatics tools, particularly targeting infectious diseases and cancer-related antigens. Moaaz is currently conducting a master's research project on gene expression profiling in high-grade serous ovarian carcinoma, utilizing RNA-Seq data and integrative analysis approaches. Moaaz has hands-on experience with epitope prediction platforms such as IEDB and VaxiJen, along with RNA-Seq preprocessing, differential expression analysis, and literature-driven vaccine candidate identification. He also applies AI and machine learning techniques in biomedical data interpretation and contributes to academic training and manuscript preparation.
Research Interests
- Gene expression profiling in cancer (e.g., ovarian and breast cancer)
- Epitope-based vaccine design using in silico tools
- Multi-omics integration for biomarker discovery
- Precision medicine and computational diagnostics
- AI and data science applications in health research
Notable Achievements
- Co-authored six peer-reviewed publications in immunoinformatics and vaccine design
- Developed a Random Forest and Gradient Boosting model for breast cancer diagnosis, earning 2nd place in the UNDP National Data Science Challenge
- Conducting master’s research on RNA-Seq transcriptomics in ovarian cancer
- Co-supervises undergraduate research projects in computational biology
- Active science communicator, sharing educational content on AI tools in research through LinkedIn and academic networks
Collaborations
- Participated in multiple collaborative projects on multi-epitope vaccine design against bacterial pathogens
- Data Science Challenge – UNDP Sudan: Designed machine learning models for cancer diagnostics
- Scientific Communication: Promotes awareness and understanding of bioinformatics and AI in science through digital outreach