CV

Work experience

• 2021 - present Bioinformatician in the group Gene Regulation and System Biology of Cancer, Max Plank Institute for Molecular Genetics, Berlin.
  • Design and analysis of a CROPseq dataset in paediatric cancer cell lines (B-cell precursor Acute Lymphocytic Leukemia, Ewing Sarcoma, Hepatoblastoma)
  • Design and analysis of a dropout screen with drug treatments in paediatric cancer cell lines
  • Maintenance and development of sequencing pipelines
  • Mechanistic modelling of paediatric cancers
• 2015 - 2021 PhD Reverse engineering signalling networks in neuroblastoma in the group of Computationnal Modelling in Medicine, Humboldt-Universität zu Berlin and Charité Universitätsmedizin, Berlin.
  • Development of the R/C++ package STASNet
  • Perturbation of a panel of Neuroblastoma cell lines with targeted therapies
  • Modelling of Neuroblastoma and Colo-Rectal Cancer cell lines signalling

Education

• 2012 - 2015 M.S in Molecular and Cellular Biology with a specialisation in Bioinformatics and Modelling, École Normale Supérieure and UPMC, Paris.
• 2010 - 2012 Classes préparatoires aux Grandes Ecoles BCPST (Biologie, Chimie, Physique, Sciences de la Terre), Lycée Hoches, Versailles.

Skills

• Tissue culture
• Sequencing on Illumina sequencers (library preparation and sequencer operation)
• Single cell sequencing (library preparation and raw data processing)
  • 10X
  • Evercode
• Programming
  • R/tidyverse
  • python
  • C/C++

Publications

Neuroblastoma signalling models unveil combination therapies targeting feedback-mediated resistance

**Dorel M**, Klinger B, Mari T, Toedling J, Blanc E, Messerschmidt C, et al. (2021) Neuroblastoma signalling models unveil combination therapies targeting feedback-mediated resistance. PLoS Comput Biol 17(11): e1009515. https://doi.org/10.1371/journal.pcbi.1009515