I am a researcher at the Centre for Computational Biology (CBIO) of ARMINES/MINES ParisTech, Institut Curie and INSERM (which are all part of PSL Research University), and hold a Springboard Chair at PRAIRIE. My research interests revolve around machine learning techniques for therapeutic research.

I am looking for a postdoctoral researcher with a background in statistics, optimization or machine learning to work on multitask feature selection in high dimensional, low sample-size data, with applications to genome-wide association studies. Contact me for details!

Short bio

Previously I have worked in the area of chemoinformatics and drug design (more particularly, virtual high-throughput screening) during my PhD at UC Irvine with Pierre Baldi. I switched my focus to the other side of the coin during my postdoctoral stay at the Max Planck Institutes for Developmental Biology and Intelligent Systems in Tübingen, where I worked with Karsten Borgwardt as a member of the Machine Learning and Computational Biology (MLCB) research group on methods for genome-wide association studies. I joined CBIO in December 2013.

Supervision

  • Héctor Climente González
    Integrating structural constraints in multi-locus genome-wide association studies.
    PhD student since October 2016.
    Joint supervision with Véronique Stoven.
  • Lotfi Slim
    Detection of epistasis in genome-wide association studies with machine learning methods for biomarkers and therapeutic target identification.
    PhD student since December 2016.
    Joint supervision with Véronique Stoven and Clément Chatelain.
  • Antoine Récanati
    Postdoctoral researcher since October 2018 and research engineer at Sancare.
    Privacy-preserving training of distributed models and clinical trial recruitment.
  • Asma Nouira
    Stable feature selection for multi-locus genome-wide association studies.
    PhD student since January 2018.
    Joint supervision with Véronique Stoven.
  • Ndèye Maguette Mbaye
    Learning from multi-modal data to improve cancer treatment.
    PhD student since September 2019.
  • Marc Michel
    Determining the potential of methylation of circulating tumor DNA as a pan-cancer biomarker.
    PhD student at Paris Saclay since October 2019.
    Joint supervision with Charlotte Proudhon.
  • Élise Dumas
    Evaluation of the interactions between comedications and recurrence-free survival in breast cancer from SNDS data.
    PhD student at Paris Saclay since October 2019.
    Joint supervision with Fabien Reyal.

Past:

Teaching

I teach lectures related to bioinformatics, machine learning and drug discovery at several places, including MINES ParisTech, Centrale Paris and Paris-Diderot. I'm also teaching online courses (in French) at OpenClassrooms. See my teaching page for more details.

Women in Machine Learning and Data Science

I am the co-founder of the Parisian chapter of Women in Machine Learning and Data Science. For more details about this and diversity in general, please check out my Diversity in STEM page.