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.

Le deuxième tirage de mon Introduction au Machine Learning à destination des élèves ingénieur·e·s ou mastérien·ne·s est parue en juillet 2019 aux éditions Dunod. La version électronique (pdf) sans exercices est disponible ici.

Pour découvrir mes thématiques de recherche en français : ma présentation du 23 novembre 2017 à l'Académie des Sciences sur la caractérisation des cancers par les données génomiques.

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.
  • Vivien Goepp
    Post-doctoral researcher.
    Multi-locus genome-wide association studies.

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.