Elsa Bernard

a picture of Elsa 

Postdoctoral researcher at Memorial Sloan Kettering Cancer Center (MSKCC), New York, USA.


Since 2016, I am a research fellow in Computational Oncology at MSKCC under the mentorship of Elli Papaemmanuil. I obtained my PhD in Bioinformatics in September 2016 from the Center for Computational Biology at MinesParistech/Institut Curie under the supervision of Jean-Philippe Vert.

Contact

bernare2 (at) mskcc [dot] org

Research interests

My research interests broadly lie in the translation of computational genomics into personalized cancer medicine. I enjoy performing data-driven cancer research, that employs statistics and machine learning techniques, to translate genomic dependencies observed in patients into clinical support tools. My main current focus is to better understand the genetic basis of myelodysplastic syndrome (MDS), genotype-phenotype relationships and determinants of outcomes and response to therapy. My other interests relate to:

  • cancer genomics
  • genomics of hematologic malignancies
  • personalized cancer medicine
  • (alternative) splicing
  • machine learning & predictive models