Team and Collaborators

Team leader – Biology/Biochemistry (ORCID, Google Scholar)

Team leader – Computational Biology (ORCID, Google Scholar)

Team leader – Statistics (ORCID, Google Scholar)

Scientist – Biology/Biochemistry (Google Scholar)

Data analyst – Bioinformatics (ORCID, LinkedIn, Google Scholar)

Postdoc – Machine learning/AI (ORCID, Google Scholar)

Consultant – Bioinformatics (ORCID, LinkedIn, Google Scholar)

PhD student – Surgery

PhD student – Computational Biology (ORCID, Google Scholar)

PhD student – Computational Biology

PhD student – Computational Biology

The Computational Cancer Genomics team at IARC-WHO is a multicultural and multidisciplinary team including bioinformaticians, data scientists, and molecular biologists from four different nationalities, and piloting large international consortia. It is a vibrant environment ideal for a student willing to pursue an international career in medical bioinformatics or data science to gain experience in state-of-the-art bioinformatics (reproducible workflows interacting with High-Performance Computing facilities) and big data analysis (modern statistics and machine learning) covering most of the spectrum of ‘omic approaches used in medical genomics. Team alumni pursued their career in world-leading medical research institutions (Barcelona Institute for Research in Biomedicine, Lausanne University Hospital, University of Calgary, Stanford University), at IARC-WHO, and in private companies (bioMerieux).

• IARC CCG team website
• Justo Castaño’s group
• Talya Dayton's group
• Di Genoma Lab

Organoids – EMBL Barcelona, SP

Pathology – Centre Léon Bérard, FR

Oncology – Hospices Civils de Lyon, FR

Oncology – Centre Léon Bérard, FR

Oncology – Maastricht University, NE

Surgery – Hospices Civils de Lyon, FR

Biobank – Centre Léon Bérard, FR

Biology/Biochemistry – IMIBIC, FR

Tumor immunology – University of Bari « Aldo Moro », IT

Driver genes – IRB Barcelona, SP

Biology/Biochemistry – Maastricht University, NE

Mutational signatures – UC San Diego, USA

Long-reads sequencing – O’Higgins University, Chile

Cancer Evolution – Stanford University, USA

Cancer Evolution – Cornell University, USA

Pathology – Med Uni Graz, AUS

Oncology – Centre Hospitalier Universitaire de Toulouse, FR

Institute of Tissue Medicine and Pathology, University of Bern, CH

Institute of Tissue Medicine and Pathology, University of Bern, CH

Oncology – Hospital Universitario 12 de Octubre, Madrid, SP

Oncology – Hospices Civils de Lyon, FR

Oncology – Hospices Civils de Lyon, FR

Pathology, University of Turin, IT

Oncology and Hemato-Oncology, University of Milan, IT

Artificial Intelligence, University of Kent, UK

• – LungNEN network:
• CHU Caen, CHU Nice, CHU Nancy, HCL Bron, Peter MacCallum Cancer Centre Melbourne, IRCCS Milan, IRCCS Rotondo, Medical University of Graz, Hôpital Marie-Lannelongue Paris, University of Turin, Oslo University Hospital, Maastricht University Medical Centre
• – LYRICAN+
• – COALA

• – French MESOBANK
  
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• – EURACAN
  
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• – EPIC
  
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• – ENETS
  

• Centre National de Recherche en Génomique Humaine (CNRGH, CEA), FR
• Sequencing platform of the Centre Léon Bérard, FR
  
• Cologne Center for Genomics (CCG), University of Cologne, DE