Mohammad Salma, PhD
Senior Bioinformatician & Data Scientist
Transforming complex genomic data into actionable insights through advanced bioinformatics, machine learning, and innovative pipeline development
About Me
Senior Bioinformatician and Data Scientist with extensive expertise in analyzing next-generation sequencing (NGS) data and developing cutting-edge bioinformatics pipelines.
My journey combines a strong foundation in genomics with advanced skills in artificial intelligence and machine learning. I specialize in translating complex biological data into meaningful insights for oncology and rare disease research.
Throughout my career, I have supervised bioinformatics engineers and doctoral students, refining my expertise in project management and team leadership. I am passionate about innovation, particularly in applying AI/ML methods to genomics to improve diagnostics and research in fields such as oncology and rare diseases.
PhD in Biotechnology
University of Montpellier
6+ Years Experience
Bioinformatics & Data Science
19+ Publications
232 Citations, h-index: 7
Professional Experience
Project Manager
Institut Imagine | Bioinformatics & Data Science
Montpellier, France
- Leading bioinformatics and data science projects for genetic disease research
- Coordinating multidisciplinary teams and project deliverables
- Implementing advanced genomic analysis workflows
Senior Bioinformatics & Data Scientist
IRCM - Institut de Recherche en Cancérologie de Montpellier
Montpellier, France
- Supervised bioinformatics engineers and provided technical leadership
- Implemented advanced AI/ML algorithms for cancer genomics analysis
- Mentored doctoral student in bioinformatics (since October 2022)
- Developed robust pipelines for ATAC-Seq, RNA-Seq, and multi-omics integration
Bioinformatics & Data Scientist
Institut Imagine | Laboratory of Excellence GR-Ex | Université Paris Cité
Paris, France
- Developed custom tools and pipelines for complex genomic data analysis
- Applied machine learning with TensorFlow and scikit-learn for biomarker identification
- Supervised doctoral student providing pedagogical and scientific mentorship
Bioinformatics & Data Scientist
IGMM - Institut de Génétique Moléculaire de Montpellier (CNRS)
Montpellier, France
- Implemented NGS workflows for DNA, RNA, and epigenome analysis
- Conducted variant detection, functional annotation, and automated reporting
- Collaborated with multidisciplinary teams of biologists and data scientists
Skills & Expertise
Programming
NGS Analysis
AI & Machine Learning
Workflows & Tools
Data Management
Development
Selected Publications
ZEB1 drives terminal erythroid maturation by controlling the GATA2–KLF1 regulatory switch
Nucleic Acids Research (2026)
Selected as an NAR Breakthrough Article — the journal's highest distinction, reserved for the top 1–2% of papers. Alexia Kinoo, Virginie Deleuze and Mohammad Salma contributed equally as co-first authors.
View PublicationIFN-I-Mediated Transcriptional Reprogramming Drives Myeloid-skewed Hematopoiesis in Sickle Cell Anemia
American Journal of Hematology (2026)
View PublicationThe methyl-CpG-binding protein 2 inhibits cGAS-associated signaling
Nature Communications (2025)
View PublicationMMS22L is a novel key actor of normal and pathological erythropoiesis
HemaSphere (2025)
View PublicationIn vivo deletion of a GWAS-identified Myb distal enhancer acts on Myb expression, globin switching, and clinical erythroid parameters in β-thalassemia
Scientific Reports (2025)
View PublicationSingle cell analysis and functional features of circulating CD34+ cells from patients with sickle cell anaemia unveil a defect in the myeloid lineage
Blood (2023)
View PublicationEfficient genome editing in erythroid cells unveils novel MYB target genes and regulatory functions
IScience (2023)
View PublicationVar|Decrypt: a novel and user-friendly tool to explore and prioritize variants in whole-exome sequencing data
Epigenetics & Chromatin (2023)
Developed a web-based tool that significantly streamlines WES data analysis, offering extensive gene and variant filtering, clustering, and enrichment tools without requiring complex bioinformatics skills.
View PublicationHigh-throughput methods for the analysis of transcription factors and chromatin modifications
Blood Cells, Molecules, and Diseases (2023)
View PublicationONTdeCIPHER: an amplicon-based nanopore sequencing pipeline for tracking pathogen variants
Bioinformatics (2022)
View PublicationPPARγ agonists promote the resolution of myelofibrosis in preclinical models
Journal of Clinical Investigation (2021)
View Publicationp53 activation during ribosome biogenesis regulates normal erythroid differentiation
Blood (2021)
Demonstrates how p53 activation during ribosome biogenesis plays a crucial role in regulating normal erythroid differentiation processes.
View PublicationCryopreservation of Date Palm Pro-Embryonic Masses Using the D Cryo-plate Technique
Methods in Molecular Biology (2017)
View PublicationComparison of droplet-vitrification and D-cryoplate for cryopreservation of date palm polyembryonic masses
Scientia Horticulturae (2014) - 39 Citations
View PublicationEffect of the successive steps of a cryopreservation protocol on the structural integrity of Rubia akane Nakai hairy roots
Protoplasma (2014) - 21 Citations
View PublicationImproved cryopreservation using droplet-vitrification and histological changes associated with cryopreservation of Madder (Rubia akane Nakai)
원예과학기술지 (2012)
View Publication19+
Publications
232
Citations
7
h-index
6
i10-index
Notable Projects
Var|Decrypt
A web-based tool for exploring and prioritizing variants in whole-exome sequencing data. Features extensive filtering, clustering, and enrichment capabilities without requiring complex bioinformatics skills.
ONTdeCIPHER
Nanopore-based pipeline for tracking pathogenic variants. Developed for real-time monitoring of SARS-CoV-2 and other pathogen variants using Oxford Nanopore sequencing.
NGS Analysis Pipelines
Comprehensive suite of bioinformatics pipelines for multi-omics analysis including RNA-Seq, ATAC-Seq, ChIP-Seq, and single-cell sequencing with automated QC and reporting.
ML for Genomics
Machine learning models for biomarker identification and predictive analysis in cancer genomics using TensorFlow and scikit-learn frameworks.
Get in Touch
I'm always interested in discussing new opportunities, collaborations, and innovative projects in bioinformatics and data science.
Professional Email
mohammad.salma@igmm.cnrs.frGeneral Email
contact@mohammadsalma.comLocation
Montpellier, France