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Tilmeldt december 12, 2019
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Othman S.

@soufanom

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Genansættelsesrate

Computer Scientist & Data Mining Expert

I’m a PhD in Computer Science; currently focusing on developing data mining and graph mining techniques. I excel in analyzing data, extracting unseen useful patterns and achieving a better-informed decision-making process. The result of my work can be found in one filed patent and several peer-reviewed publications in international journals ranked top in the respective domain of specialty. I have a strong business background, both academic and empirical, derived from my education and family business. Being transparent and determined has granted me the trust and respect of my colleagues and superiors. I am a hard worker and proactive team member, always willing to find solutions, both to work and community situations that can benefit from my involvement.

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Erfaring

Project leader

McGill University
jan. 2019 - Nuværende
Responsible for team coordination, task execution, scientific progress reports and building and deploying the system designs for two BCB Genome Quebec projects. The value of the grants is two million Canadian dollars.

Researcher (Data Mining & Web Development)

McGill University
mar. 2017 - Nuværende
Working on developing a new-generation bioinformatics platform to help characterize and prioritize chemicals by integrating chemoinformatics, multi-omics profiles (genomics, transcriptomics, proteomics, and metabolomics) and phenotypic measurements, within the context of Toxicogenomics and systems biology.

Graduate Student (Artificial Intelligence)

KAUST
dec. 2010 - dec. 2016 (6 år)
Studied and researched the fields of Data Mining and Machine Learning to come up with smart and efficient solutions for enhancing decision making that could serve the following fields: - Bioinformatics - Biomedical Informatics - Drug Discovery - Business Intelligence Specifically, the following topics are of current focus: - Feature Selection and Ensemble Learning - Performance Evaluation and Validation Techniques - Extreme Classification and Big Data Analytics

Uddannelse

PhD in Computer Science

Saudi Arabia 2012 - 2016
(4 år)

Publikationer

NetworkAnalyst 3.0: a visual analytics platform for comprehensive gene expression profiling

NAR, 2019
The growing application of gene expression profiling demands powerful yet user-friendly bioinformatics tools to support systems-level data understanding. NetworkAnalyst was first released in 2014 to address the key need for interpreting gene expression data within the context of protein-protein interaction (PPI) networks. It was soon updated for gene expression meta-analysis with improved workflow and performance...

Community assessment to advance computational prediction of cancer drug combinations

Nature Comm., 2019
The effectiveness of most cancer targeted therapies is short-lived. Tumors often develop resistance that might be overcome with drug combinations. However, the number of possible combinations is vast, necessitating data-driven approaches to find optimal patient-specific treatments. Here we report AstraZeneca’s large drug combination dataset, consisting of 11,576 experiments from 910 combinations across 85 molecularly characterized cancer cell lines, and results of a DREAM Challenge to evaluate..

T1000: a reduced gene set prioritized for toxicogenomic studies

PeerJ, 2019
Though several gene sets have been defined for toxicological applications, few of these were purposefully derived using toxicogenomics data. Here, we developed and applied a systematic approach to identify 1,000 genes (called Toxicogenomics-1000 or T1000) highly responsive to chemical exposures.

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