About me

I am a PhD student in Machine Learning at Mila, Université de Montréal advised by Yoshua Bengio. I am interested in adapting causal inference methods to gene expression data in order to better understand cellular regulatory mechanisms. Recently, I have been working on assessing the usefulness of gene interaction graphs as prior knowledge for machine learning models.

I was born in Paris in 1994 and lived in Paris and Bergerac before moving to Montréal. I hold a masters degree in Machine Learning from École Normale Supérieure Paris-Saclay and a diplôme de l’École polytechnique (France). More details can be found in my resumé.


Publications

  • Mapping the Fine-Scale Organization and Plasticity of the Brain Vasculature
    Christoph Kirst, Sophie Skriabine, Alba Vieites-Prado, Thomas Topilko, Paul Bertin, Gaspard Gerschenfeld, Florine Verny, Piotr Topilko, Nicolas Michalski, Marc Tessier-Lavigne and Nicolas Renier
    Cell (2020) [link]

  • Is graph biased feature selection of genes better than random?
    M Hashir, P Bertin, M Weiss, V Frappier, T Perkins, G Boucher, JP Cohen
    MLCB 2019 [pdf]

  • Analysis of Gene Interaction Graphs for Biasing Machine Learning Models
    P Bertin, M Hashir, M Weiss, G Boucher, V Frappier, JP Cohen
    Workshop ICML 2019 [pdf]

  • Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction System
    JP Cohen, P Bertin, V Frappier
    (Preprint) 2019 [pdf]

Master Thesis

  • Analysis of 3D microscopic brain images at high resolution [pdf]
    Aramis Team, Inria, Paris. Supervised by Stanley Durrleman and Nicolas Renier.
    Tackled the analysis of graphs embedded into 3D space in order to study the variability and plasticity of vessel networks in the adult mouse brain.

Teaching

  • Challenges of Machine Learning for Transcriptomics [pdf]
    3 hours lecture given in the AI for Genomics Bootcamp program on Feb 7th 2020.

Projects

  • Deep multi armed bandit [pdf]
    Apply Bayesian Deep Learning methods to deal with the Exploration-Exploitation dilemma in the Multi Armed Bandit problem.

  • Restricted Boltzmann machines on MNIST [pdf]
    Review of various algorithms to train Restricted Boltzmann Machines.

  • Style transfer in images [pdf]
    Review and implement various approaches for Style Transfer in images (neural algorithm and unsupervised method).

  • dynamics of glass-forming liquids [pdf]
    Data challenge : prediction of the dynamics of particles in glass-forming liquids.