My primary research interests include:
Molecular Microbiology, Viral Genomics, Genome Editing (e.g., CRISPR), Human Genetics, Pharmacogenomics, Genetic Epidemiology, Bioinformatics, Genetic Neuroscience, Computational Biology, Virus-Host Interactions, and Microbial Genomics.
Bioinformatics
DNA extraction
RNA extraction
PCR
RFLP
Genetics
Statistical analysis
Western blotting
Electrophoresis
Isolation and diagnosis of bacteria
Isolation and diagnosis of fungi
ELISA
Theoretical knowledge
Technical proficiency
Ability to work independently
Ability to work in a team
Problem-solving ability
Motivation/commitment
Creativity
Flexibility
Communication skills
Editor
Reviewer
CRISPR system
Microbial genetics
Python
Linux
R programming
Git
PhD Researcher in Microbial Data Science, UFZ, Germany, 10/2023, present, Computational Biology, Genomics, Viromics, Computational tools (Python, R, and Machine learning), Research Assistant, Jordan University of Science and Technology, 08/2019, 02/2022, DNA, RNA Extraction from Blood, Viruses, PCR, RFLP, Electrophoresis, Writing researches and Proposal, Research Assistant, Thamar University, Yemen, 04/2010, 04/2017, DNA, RNA Extraction from Plant genomic, Animal tissues, and Bacteria samples, PCR, Electrophoresis, Isolation and diagnosis of different types of bacteria and fungi, Lecturer, Modern University for Science and Technology, Dentistry Department, 09/2021, Current, Oral Microbiology, Research Methodology, Microbiology, Teaching Assistant, Thamar University, Biochemistry Department, 09/2009, 07/2018, Biochemistry of nutrition, Immuno Chemistry, Immunology, Applied Biochemistry, Molecular Biochemistry, Biotechnology, Microbiology, Lecturer, Al-Saeeda University, 04/2012, 08/2013, Microbiology Water & Food, Pharmaceutics Biotechnology, Laboratory Technician, Cure Medical Center (CMC), Sanaa, Yemen, 01/2017, 08/2017, Serology analysis, Biochemistry tests, Diagnostic tests of bacteria, Food and Biotechnology Engineer, The Agriculture and Irrigation Office of Dhamar, Yemen, 01/2012, 12/2013, Investigations and analysis of food and microbiological diagnostic laboratories for food contamination
(Oct 2023 – Present); PhD Researcher, Department of Computational Biology and Chemistry, Helmholtz Centre for Environmental Research (UFZ) . Focus: Viral Genomics, Viromics, and Microbiome Functional Analysis
(2019-2022); Research Assistant, Department of Biotechnology and Genetic Engineering, Jordan University of Science and Technology (JUST) – Irbid, Jordan. Worked on gene expression studies and pharmacogenomics research projects.
(2013 – 2018); Teaching Assistant, Faculty of Applied Sciences, Thamar University—Dhamar, Yemen. Courses: Biochemistry, Molecular Biology.
Microsoft Office (Word, Excel, PowerPoint)
Jump (Statistical analysis)
NCBI Tools (BLAST, Ori-Finder, Genome Browser)
Galaxy, Kbase, PHASTER and PhaBox Platforms (workflow based bioinformatics)
R/RStudio (Statistical computational and visualization)
Linux/Ubuntu
Python
Filmora video editing
Photoshop Advance
Bioinformatics, 7 course series (Genome Sequencing; Comparing Genes, Proteins, and Genomes; Molecular Evolution; Genomic Data Science and Clustering; Finding Mutations in DNA and Proteins; Bioinformatics Capstone: Big Data in Biology), University of California San Diego
§ UFZ Summer School in Trends in Multi-Omics Data Analysis, University of Leipzig & UFZ | July 2025
§ Theoretical and practical training on multi-omics data analysis, including Unix/Bash, Git, Python, R, omics technologies, Viromics, Phylogenetics, Metagenomics, SQL for omics, genome annotation, genome reconstruction, metatranscriptomics, Multi-omics data integration, machine learning, Protein language models, and experimental design.
§ Practical activities: bioinformatics pipelines, genome annotation, amplicon sequencing, data management, and computational analysis.
§ UFZ Summer School in Trends in Multi-Omics Data Analysis, University of Leipzig & UFZ | July 2024
§ Theoretical and practical training on multi-omics data analysis, including Unix/Bash, Git, Python, R, omics technologies, proteomics (with laboratory visit), viromics, phylogenetics, metagenomics, SQL for omics, genome annotation, genome reconstruction, metatranscriptomics, multi-omics data integration, machine learning, and experimental design.
§ Practical activities: bioinformatics pipelines, genome annotation, amplicon sequencing, data management, and computational analysis.
§ Bioinformatics, 7-course series | April to July 2024 (Genome Sequencing; Comparing Genes, Proteins, and Genomes; Molecular Evolution; Genomic Data Science and Clustering; Finding Mutations in DNA and Proteins; Bioinformatics Capstone: Big Data in Biology), University of California San Diego.
§ Google IT Automation with Python 6 course series | April to May 2024 (Crash course on python; Using python to interact with the operation system; Introduction to Git and GitHub; Troubleshooting and debugging technique; Configuration management and the cloud; Automating real-world tasks with python), Google and Coursera course.
Bash and Python courses, 5-course series | January to March 2024 . Python for Genomic Data Science, The Johns Hopkins University. Introduction to Version Control with Git,Github, Gitlab, UFZ. Introduction to Genomic Technologies, The Johns Hopkins University.
Crash course in (The Bash Shell and Basic Scripting in Linux, Unix System Basic; Introduction to Bash Shell Scripting) Coursera Project Coursera. Introduction to the Linux Command Line and the UFZ High Performance Compute Cluster EVE, UFZ.
§ Software Carpentry Workshop | November 2023 (Shell, Git, Programming with R), Helmholtz Information & Data Science Academy (HIDA) Germany.
UFZ Training Courses | November to December 2023; Crash Course in Metabolic Modeling - Advanced topics; COBRA and Matlab, Good Scientific Practice, HIGRADE Core Curriculum & Career. Crash Course in Metabolic Modeling (Basics): Genome Scale-Metabolic Reconstructions, Helmholtz center for environmental research (UFZ), Germany
§ Workshop in Bioinformatics | January 2022; on Data Science with Python, R, and Machine Learning, DE Life, India
Galaxy Academic training (Transcriptomics and Proteomics)
Bioinformatics, 7 course series (Genome Sequencing; Comparing Genes, Proteins, and Genomes; Molecular Evolution; Genomic Data Science and Clustering; Finding Mutations in DNA and Proteins; Bioinformatics Capstone: Big Data in Biology), University of California San Diego
Google IT Automation with Python 6 course series (Crash course on python; Using python to interact with the operation system; Introduction to Git and GitHub; Troubleshooting and debugging technique; Configuration management and the cloud; Automating real-world tasks with python), Google and Coursera course