I am currently a PhD Student in Computational Biology at CBIO team in MINES ParisTech and Institut Curie . I am working under the supervision of ChloƩ-Agathe Azencott.

The main goal of my thesis is to provide a stable framework for biomarker discovery in multi-locus Genome-Wide Association Studies (GWAS) using Machine Learning, essentially feature selection models to deal with high-dimensional data. The aim is to find association between the genotype and the phenotype, we are conducting our analysis on cancer phenotype. Many challenges lay ahead such as: genetic population stratification, linkage disequilibrium patterns clustering and the stability of the selection ...

About me

In 2017, I obtained my engineer diploma on embedded systems in National Engineering School of Sousse (ENISo), Tunisia. After that, I got my master degree in Intelligent Communicating Systems in 2018. I did an internship at East Paris Institute of Chemistry and Materials Science (ICMPE) in Paris, I was working on Machine learning techniques applied on chemistry to discover novel chemical compounds for hydrogen storage. This project was supervised by Jean-Claude Crivello and Nataliya Sokolovoska . Since January 2019, I started my PhD project at CBIO, a team directed by Thomas Walter . I am mostly interested on Machine Learning and Deep Learning applications. At CBIO, I am looking forward to resolving biological problems in order to find association between the human genome and cancer using Machine Learning techniques.

Talks and Posters

  • March 11, 2020. Multi-task group Lasso correcting for population stratification in Genome Wide Association Studies. Intitut Curie, Paris (France).[Talk]
  • January 23, 2020. Multi-task group lasso for Genome Wide Association Studies. Statistical Methods for Post Genomic Data (SMPGD), Institut Pasteur, Paris (France). [Poster]


GitHub Repositories