Yomna Mohammad Ali

Education

Umm Al-qura university, Bachelor of Zoology/Animal Biology Science Sept 2023 – Jun 2027

(Expected)

• GPA (Up to 6th level): 4.0/4.0 (link to Academic Transcript)

• Relevant Coursework: Animal Biology, Cell Biology, Molecular Biology, Genetics, Biochemistry, Microbiology,

Animal Physiology, Immunology, Biostatistics, Microscopic Techniques

Professional Profile

Bioinformatics Specialization Program, KAUST Academy Dec 2024 – Aug 2025

• Qualified one of top 40 finalists nationwide out of 10,000 applicants.

• Through this program: Received advanced training in bioinformatics, equipping me with the skills to quality for

the Al Summer School, intergrating Al with bioinformatics to drive innovative solutions.

• Worked on a project titled “AI-Driven Design of Universal Peptide Adjuvants for Cost-Effective Vaccines,”

presented during Poster Day at KAUST, showcasing the integration of AI and bioinformatics in vaccine design.

Bioinformatics Analyst Intern, The Freelance Bubble July 2025 – Aug 2025

• Analyzed RNA-Seq data using Galaxy, HISAT2, and DESeq2.

• Processed public datasets (SRA, GEO) and visualized results in R.

• Created publication-ready plots and interpreted biological insights.

Scientific and Professional Membership

Courses

Bioinformatics Specialization Program (Stage 2 & 3), KAUST Academy Dec 2024 – Feb 2025

• Bioinformatics basics: databases, sequence alignment, phylogenetics

• Genomics, metagenomics, transcriptomics, proteomics

• Advanced genomics, epigenomics, systems biology

• Network analysis, machine learning applications

• Hands-on with NCBI, Galaxy platforms

• Omics data analysis and workflow building

Practical Fundamentals of bioinformatics , InformaTalents May 2025

Molecular biology and Genetic, Clinical Science Training Center Apr 2025

• Basic understanding of genetic material

• Types of genetic mutations

• Genetic analysis fundamentals

Immunoinformatics for Infectious Disease Research and Vaccine Design

workshop, Center for Artificial Intelligence in Research and Innovation in Precision

Medicine Feb 2025

• Applied bioinformatics and AI tools for vaccine design and epitope prediction.

• Performed reverse vaccinology and immunoinformatics data analysis.

• Integrated machine learning methods in immunology research workflows.

• Gained hands-on experience with computational tools for infectious disease studies.

Fundamental Skills in Bioinformatics , KAUST Academy Dec 2024

• Basics of R, Python

• How to analyze bulk RNAseq count data

• How to analyze single cell RNAseq count data

Python Programming Essentials, Rice University Nov 2025

• Integrated Development Environments

• Programming Principles

• Debugging

• Python Programming