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.