Professional experience
Research intern
Nile university , 6 اكتوبر - Internship
From August 2024 to October 2024
•Worked on developing a Machine Learning pipeline for data analysis using Connectivity maps and gene expression analysis against residual cancer burden (RCP).
•Worked on analysis of data using ML algorithms including Limma, Limma-voom and Deseq2 to identify DEGs and their properties using connectivity maps.
Additional training
Intro to Bioinformatics
H3ABIONET - Bioinformatics, Computational biology
2023 à 2023
It enriched my theoretical and practical bioinformatics knowledge through a rigorous 16-week training that provided a strong foundation in utilizing essential databases and resources. Furthermore, it delved into critical topics including sequence alignment theory, the principles of genomics, and the study of molecular evolution and phylogenetics. This comprehensive training equipped me with the necessary skills to effectively analyse biological data and contribute meaningfully to bioinformatics research.
Degree
Languages
Anglais - Courant
Allemand - Technique
Arabe - Langue maternelle
Français - Notion