Mano Joseph Mathew Research Professor of the research axis "Data and Artificial Intelligence", Head of the Master Program in "Bio-Informatics" and Head of the Biology Department

MATHEW Mano Joseph holds a Ph.D. in Microbiology and Infectious Diseases obtained in 2013 at Aix-Marseille University with honors and funding from L’Assistance publique – Hôpitaux de Marseille (AP-HM) and the World Health Organization (WHO) at the Research Unit on Emerging Infectious and Tropical Diseases (URMITE) under the supervision of Prof. Didier Raoult.  

Between 2013-2015, he worked as a post-doctoral fellow at the Centre d’immunologie de Marseille-Luminy (CIML), Marseille, France, with Prof. Pierre Ferrier’s team funded by INSERM. Primarily responsible for the development and analysis of high impact research in the field of oncology, based on the analysis of high-speed data generated by next-generation sequencing or other method for measuring gene expression (DNA-seq, RNA-seq, ChIP-seq, DNA chips) to identify the different molecular mechanisms involved in different mechanisms of carcinogenesis. 

Between 2016-2018, he worked as Post-doctoral fellowship at the Centre de Recherche des Cordeliers (CRC), Paris within Immunity & Metabolism of Diabetes (IMMEDIAB Lab) directed by Prof. Nicolas Venteclef and team, where he used multi-omics data analysis/integration techniques to analyze the multiple datasets jointly to better understand the epigenomic changes of diabetes which were funded by INSERM and ERC. 

He holds a Master’s degree in Bioinformatics from Manipal University (2008) and a Bachelor’s degree in Biotechnology from Sardar Patel University (2006). 

Between 2009 and 2010, he worked as IT Technical Officier at Maersk. Supporting the Safmarine Business group, Antwerp Belgium Head office for safmarine users (around 3000). Responsible for daily report creation, Teleconference with stakeholders and Vendors like IBM and mentor for the team with 8 members. 

After joining EFREI Paris in 2019, he was responsible for the department Biology and created Master specialisation program in Bioinformatics.  

Today, he is Responsable de la majeure Bio-informatique et du département biologie. Chargé des contrat de professionnalisation – M2 Bio-informatique. 

We aim to improve human health, through the development of artificial intelligence methods, focusing on translating multi-omic discoveries into precision diagnostics. 

Our mission is to use the data we get from genomics, radiomics, pathomics and its impact on pathological conditions using computational multi-omics approaches. Such methods rely on the statistical analysis and integration of big data (high-throughput sequencing, microarrays, proteomics, high-throughput screening), medical imaging and clinical/phenotypic data. We look at both clinical data as well as data generated outside of hospitals and aim to support both medical providers and patients in their decision making by identifying biomarkers. 

• Genomics and transcriptomics 
  • Insights into Chronic lymphocytic leukemia (CLL) using transcriptomics and exome data analysis 
  • GBCM : Chikgene project : Genotyping of patients from La Réunion island by low coverage sequencing and imputation for search of new variants associated with long-term Chikungunya manifestations 
  • EBI: Identification of potential targets and study of receptor-inhibitor interaction for the treatment of cutaneous melanoma. 
  • Guinea: A Molecular and Bioinformatics Approach to Antimicrobial Resistance Surveillance in a One Health Context. 
• Medical Imagining 
• • Universidade Federal do Maranhão – UFMA / Universidade Federal do Piauí – UFPI collaborated study: Automatic detection of malignant breast lesions in histopathological images based on the combination of bio-inspired texture descriptors and deep features 
  • Universidade Federal do Maranhão – UFMA / Universidade Federal do Piauí – UFPI collaborated study: Development of a heuristic optimization methodology to find the best design of convolutional neural networks in medical images 

• HERA-MI: MRI image analysis for prostate cancer detection  
  • Biosignal processing 
  • Villejuif Hospital: Stress Analysis  

• Project Health :  
  • Skin lesions detection 
  • SynProt  – Create and improve Protein with AI 
  • Lung Cancer 

• Parabole CNES – EMISI for « Etude du Microbiote Intestinal Soumis à l’Impesanteur » (Study of the Intestinal Microbiota Under Weightlessness). 
• Stress Analysis – Villejuif Hospital  
• Smart3seq pipeline Dashboard 

• Trend Detection : PubMed : Holon Institute of Technology (HIT) 

• Data Visualization (M1) 
• Analyse d’images médicales et visualisation des données (M1) 
• Introduction to artificial intelligence (M2) 
• Genomics, Epigenetics and Applications (M1) 
• Introduction to Bioinformatics (M2) 
• Traitement des Biosignaux (M1) 
• Business Intelligence (M1) 
• Hadoop Map Reduce (M1) 

https://hal.science/search/index/?q=*&authIdPerson_i=1129840 

https://orcid.org/0000-0002-4930-6903