Profile
I am a PhD holder in Computer Science department specialized in Bioinformatics. I have an extensive experience in many disciplines related to bioinformatics but mainly in genomic signals recognition and genome assembly and annotation. I am a hard-working and self-motivated team player with strong interpersonal skills and positive work ethics. My work resulted in several publications in high impact bioinformatics journals.
Education
- 2008
Bachelor degree from Computer Science DepartmentFaculty of Computing and Infor, King Abdulaziz University, جدة, المملكة العربية السعودية
- 2011
Master degree from Computer ScienceComputer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, ثول, المملكة العربية السعودية
- 2017
Doctorate degree from Computer ScienceComputer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, ثول, المملكة العربية السعودية
Research Interests
I am interested in Bioinformatics more specifically in genome analysis, genomic signals recognition and genomic sequences data extraction and processing.
During my PhD, I have been heavily involved in designing methods and supporting systems using machine/deep learning algorithms to be applied to genomic signals recognition, genome annotation, and genome assembly.
Scientific interests
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Digital competence
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- Languages: C/C++/C#, Python, Perl, R, Objective-C, Java, JavaScript, HTML and PHP
- Software: Theano, Keras (both on CPU and GPU), hyperas, hyperopt, scikit-learn, MATLAB, SQL Database Server, Oracle Database, Altova AML, Sybase and Google Charts
- Platforms: Linux and MacOS
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Bioinformatics Skills
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- Courses and projects: pathogen genomics, data mining, genomic signals recognition, drug repurposing, de novo assembly, genome annotation, and chemical interaction prediction.
- Models: Neural Networks, Deep Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks and Auto-Encoders
- Bioinformatics tools: GMAP, Velvet-SC, IDBA-UD, SPAdes, CLC, OPERA, CONTIGuator, MUMmer, QUAST, BWA, SMALT, BG7, RAST, IMG, MEGAN, Artemis, ACT, Blast, and Unipro UGENE
- Data Extraction: Extract genomic signals and regions -TIS and PolyA- from different organisms, human, mouse, cow and fruit fly.
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Languages
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- Mother tongue: Arabic
- Other: English, used for more than 8 years on daily bases
- Academic English Skills Course - University of Birmingham in UK, 2009
- English Course “advance Level” - University of Birmingham in UK, 2008
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Courses
| Graduate project |
498 |
CPIT |
| senior project |
499 |
CPIT |
Areas of expertise
| Bioinformatics, Machine/Deep learning, artificial intelligence |
During my PhD, I have been heavily involved in designing methods and supporting systems using machine/deep learning algorithms to be applied to genomic signals recognition, genome annotation, and genome assembly. I worked on human (Homo sapiens), mouse (Mus musculus), cow (Bos taurus), fruit fly (Drosophila melanogaster) and mousear cress (Arabidopsis thaliana) genomes. Moreover, I have developed and been involved in some bioinformatics tools: Dragon PolyA Spotter, INDIGO, BEACON, Omni-PolyA |