Elsa Bernard

a picture of Elsa 

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

I am a postdoctoral research fellow in the Department of Epidemiology and Biostatistics of MSKCC under the mentorship of Elli Papaemmanuil. I obtained my PhD in Bioinformatics in September 2016 from the Center for Computational Biology at MinesParistech under the supervision of Jean-Philippe Vert.


MSKCC - Papaemmanuil Lab
Zuckerman Research Center
417 East 68th Street
New York, NY 10065
bernare2 (at) mskcc [dot] org

Research interests

My research interests broadly lie in the development of statistically sound methods to address molecular biology questions and to contribute to personalized medicine in cancer research. More specifically, I am interested in:

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

  • I am currently working on building patient stratification rules and diagnosis and prognosis models for myelodysplastic syndrome (MDS) using DNA somatic mutations and clinical data. For that purpose I am leading the analysis of the international IWG project. I am also investigating the transcriptomic effect of recurrent MDS patients' mutations across hematopoietic cell lineages.