Alboukadel Kassambara is a Health – Biology Scientist with ten years work experiences in Cancer Biology and Bioinformatics.
He has extensive experiences in statistical and computational methods to identify prognostic and predictive biomarker signatures through integrative analysis of large-scale genomic and clinical data sets.
He created a bioinformatics web-tool named GenomicScape, for an easy gene expression data analysis and visualization.
He developed also a training website on data science, named STHDA, which contains many tutorials on data analysis and visualization using R software and packages.
PhD in Cancer Biology & Bioinformatics, 2011
University of Montpellier, France
Master in Science, Health-Biology, 2007
University Joseph Fourier, Grenoble, France
BIOINFORMATICS R&D SCIENTIST, March 2018 - Present
HalioDx (http://www.haliodx.com), Marseille, France
Implementation of Bioinformatics and Biostatistics strategies for Immunotherapy.
CO-FOUNDER OF DIAG2TEC (start-up), June 2015 – Present
(http://www.diag2tec.com/), Montpellier, France
Diag2Tec is an expert company devoted to hematological cancers, particularly to Multiple Myeloma. Main goals are to define biomarkers and generate assays to develop precision medicine approach for patients affected by these cancers.
BIOINFORMATICS SCIENTIST, ONCOLOGY, Jan. 2012 - Feb. 2018
CHRU – CNRS (Institute of Human Genetics), Montpellier, France
Responsible for the identification of new biomarkers and therapeutic targets to improve the prognostic of patients with Multiple Myeloma, which is a blood cancer. Also in charge of developing easy to use statistical tools for patients’ clinical data and biological data analyses.
PhD, MULTIPLE MYELOMA & BIOINFORMATICS, Sept. 2007 - Nov. 2011
INSERM – Institut of Research in Biotherapy, Montpellier, France
Research Assistant, Epigenetics, Apr. 2006 - Juin 2007
INSERM – Institut Albert Bonniot, Grenoble, France
Analysis of epigenetic modifications associated with 1q12 translocations in follicular lymphoma.
1 Bioinformatics web-tool for data management and the automation of gene expression data analysis (http://www.genomicscape.com)
1 Training website in Biostatistics and Data Analysis (http://www.sthda.com/english)
4 R packages for data analysis and visualization:
3 Books on data analysis and visualization (http://www.sthda.com/english/download/3-ebooks/)
More than 25 publications. See my ResearchGate profile for a full list.
Visit my training website in Biostatistics & Data Analysis: STHDA, Statistical tools for high-throughput data analysis.
Sample of My Courses on R & Data Science: