Malak Soliman

As an R and Biopython instructor, I taught programming and data analysis skills to students, enhancing their understanding of bioinformatics applications.

As a Teaching Assistant at Nile University, I taught undergraduate and postgraduate courses in data analysis, clinical informatics, and bioinformatics. I also supervised graduation projects focused on machine learning applications in biomedicine.

During my internship at EPFL, I worked on molecular imaging topics, focusing on the formation of correlated chromatin domains. I utilized Matlab for data preprocessing and analysis.

In this internship program, I gained practical experience in the analysis of 16s RNA genomics, proteomics, and metabolomics, enhancing my skills in multi-omics data analysis.

I participated in a research internship focused on bioinformatics and computational biology, screening phytochemicals and contributing to docking studies using AutoDock Vina.

As a volunteer research assistant, I completed the RNA-Seq pipeline and produced publication-quality visualizations, contributing to ongoing research in genomics.

I supported faculty in teaching and managing courses, assisting students with their learning in computer science and biomedical informatics.

Currently pursuing a Master's degree in Information Technology and Computer Science, focusing on bioinformatics and biomedical informatics. Joined ITCS research groups to enhance knowledge and skills in these fields.

Grade: 3.76

Graduated with a Bachelor's degree in Biomedical Informatics with an overall grade of Excellent with Honors. Achieved a GPA of 3.76 and developed a strong foundation in bioinformatics and data science.