Monsieur Mustafa ABUELQUMSAN / PhD
enseignant-chercheur, enseignant du supérieur*chercheur en milieu académique*
Contact details
Professional contact details
Aix-Marseille Université (AMU). Lab. Technological Advances for Genomics and Clinics (TAGC) INSERM Unit U1090, 163, Avenue de Luminy, 13288 MARSEILLE cedex 09. France Office: INSERM building, block 6 Tel: +33 4 91 82 87 49 Fax: +33 4 91 82 87 0, 13288 MARSEILLE CEDEX 09 , FRANCE
+972599322497
Jobs
Comments on availability : Bioinformatician and Machine learning
Comments on mobility : I am avaialble in all Europe
Availability : 1 2019
Additional information : Publications: (a) Refereed Academic / Professional Journals. 1- Abuzaid, A. H., AbuElQumsan, M. K. and El-Habil, A. M. (2015). On The Robustness of Right and Middle Censoring Schemes in Parametric Survival Models. Communications in Statistics - Simulation and Computation. 03/2015; DOI:10.1080/03610918.2015.1011337 · (ISI- Cited Publication).
Mobility : Europe
Research : OUI
Skills
Assistent Professor in Bioinformatics and Machine learning. I have a broad research background in Genetics, Molecular, Cellular and Developmental Biology, and Statistics. As a trained molecular biologist. I was trained to study the genomic features in whole genomic level as well as analyze traditional biological or clinical data. I successfully carried out a few biological projects. As a statistician. My background in biology and statistics allowed me to fulfill the collaboration successfully and efficiently.
Techniques
Mathematics in Biology, Biostatistical Analysis and Interpretation, Mathematics and Statistics in Bioinformatics, Application of Algorithms in Bioinformatics, Functional Bioinformatics, Probability & Statistics I, Mathematics and Statistics in Bioinformatics, Statistics,
PhD
Title : Biologie-Santé - Spécialité Bioinformatique et Génomique
First registration date : 1 September 2015 / 4A
Doctoral school : Sciences de la Vie et de la Santé
Thesis defense date : 20 December 2018
Subject : Développement, évaluation et application de méthodes statistiques pour l'analyse de données multidimensionnelles de comptage produites par les technologies de séquençage à haut débit ("Next Generation Sequencing").
Thesis supervisor : VAN HELDEN Jacques
Thesis co-supervisor : GHATTAS BADIH
Research unit : TAGC - Theories and Approaches of Genomic Complexity
Team : Bioinformatique des séquences régulatrices et réseaux moléculaires
Master's degree
Title : Master in Statistics
April 2014 - Al-Azhar University-Gaza
Mention : Very Good