Asma Nouira

About me

I have defended my PhD in 13th July 2022, my thesis manuscript is online here . 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. I have adressed many challenges that lay ahead an association analysis such as: genetic population stratification, linkage disequilibrium patterns clustering and the stability of the selection... 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 .

Talks and Posters

• March 17, 2022. Multi-task group Lasso for Genome Wide Association Studies. The Junior Seminar in Artificial Intelligence and Digital Healthcare, Paris (France). [Invited talk]
• February 3, 2022. Multi-task group Lasso for Genome Wide Association Studies in diverse populations. Institut Curie, Paris (France). [Talk]
  
• January 6, 2022. Multi-task group Lasso for Genome Wide Association Studies in diverse populations. Pacific Symposium on Biocomputing (PSB 2022), Hawaii (USA). [Talk]
  
• October 25, 2021. Multi-task group Lasso for Genome Wide Association Studies in diverse populations. NutriOmics siminar. [Invited talk]
  
• July 29, 2021. Multi-task group Lasso for admixed populations in Genome Wide Association Studies. Intelligent Systems for Molecular Biology (ISMB 2021), MLCSB COSI. [Talk] [Poster]
  
• January 28, 2021. Stable Multi-task feature selection approach for Genome Wide Association Studies. Institut Curie, Paris (France). [Talk]
  
• 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 2020), Institut Pasteur, Paris (France). [Poster]

Publications

• Nouira. A., Azencottt. C-A, Multi-task group lasso for Genome Wide Association Studies in diverse populations. Pacific Symposium on Biocomputing (PSB) 2022. [Full paper] [Supplementary Materials]

• Nouira. A , Sokolovska. N, Crivello. J-C, CrystalGAN: Learning to Discover Crystallographic Structures with Generative Adversarial Networks. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2019.

GitHub Repositories

• MuGLasso_GWAS : Multitask group lasso for Genome Wide Association Studies in diverse populations.
• GWAS-admixed-population-simulator : Simulating case-control admixed-population GWAS data in PLINK format.
• CrystalGAN : Learning to Discover Crystallographic Structures with Generative Adversarial Networks.
• Crystal-tools : Useful tools for the preprocessing of CrystalGAN.

Teaching

• November, 2021: Teaching assistant. Introduction to Machine Learning: Support Vector Machines at MINES ParisTech.
• March, 2021 : Teaching assistant. Workshops of Large-Scale Machine Learning and Data Mining 2021 at MINES ParisTech.
• November, 2019: Teaching assistant. Introduction to Machine Learning: Support Vector Machines at MINES ParisTech.
• March, 2019 : Teaching assistant. Workshops of Large-Scale Machine Learning and Data Mining 2019 at MINES ParisTech.